213 Research Scientists jobs in London
Procurement Category Manager: Science and Research - Strand, London, WC2R 2LS
WC2R 2LS London, London
Kings College London
Posted 10 days ago
Job Viewed
Job Description
Procurement Category Manager: Science and Research - Strand, London, WC2R 2LS About us:
Procurement Strategy & Services is part of the Professional Services Directorate and was established to help the university deliver best value from its spending.
The primary role of Procurement Strategy & Services is to work with Schools, Departments and external organizations to ensure the achievement of these key goals:
Delivery of value for money from university and third party spend;
Delivery of projects and contracts to time, quality and cost, realizing benefits and minimizing risk;
Providing a professional source of reference to all university staff on best purchasing practice;
Reducing university administrative costs through continuous streamlining of the procurement process;
Providing policy standards and guidance on best practice in procurement, and assisting Schools’ and Departments' in delivering against these standards;
Promoting and fostering collaborative procurement across the HE sector to deliver better value for money and better services; and provide innovative ways to develop the university’s commercial and procurement capability;
Driving forward the improvement of university capability in procurement project management through the development of people skills, processes and tools.
Procurement Strategy & Services has overall responsibility for all matters related to the effective and efficient Procurement of equipment, products and services within the university. They have a key role to play in ensuring the achievement of best value for money in the utilisation of the university’s £200 million non-pay budget and in ensuring that statutory obligations relating to all matters connected to Procurement are observed and fulfilled. The Department also ensures that commercial risks and the university’s supplier base are evaluated and adequately managed.
About the role:To assist the Director of Procurement and Associate Director of Procurement (Science and Research), in the implementation of the Procurement Transformation Strategy and to help monitor its effectiveness. This will focus on the Science and Research Category and involve working with clients in research and laboratory roles, pre and post award and grant teams to ensure compliant and effective purchasing and contract management.
The key strategic objectives of the post will be:-
to help develop a progressive awareness of best procurement practice for the Science category,
the development and promotion of improved procurement procedures to support the College’s obligations under its’ conditions of funding,
the provision of appropriate support and guidance to staff involved with purchasing in this category,
to train and support the purchasing community in the University,
to keep abreast of developments in the relevant markets and ensure supply chain resilience,
To identify and deliver savings (reportable)
to support the Directors and other colleagues in Procurement Strategy and Services to meet the University’s objectives including sustainability, promoting the University’s Socially Responsible Procurement Policy
To support the Chief Procurement Officer (CPO) in ensuring that approved purchasing policies, practices and procedures are followed throughout all Schools and Departments within the University
To assist in the promotion of effective tendering and negotiating procedures and in the evaluation and vetting of external suppliers
To establish effective supply arrangements and working partnerships with external suppliers and providers for a diverse range of goods, services and works throughout all areas of the University.
To take a key role in monitoring the take-up on a University-wide basis of the various key supplier contracts
To help develop throughout the University an awareness of the potential and benefits of more effective purchasing.
To attend meetings and develop effective working arrangements with external purchasing consortia, internal and external specialist product groups and other relevant purchasing organisations, departments and groups within both the University and external organisations.
To provide relevant advice to purchasers throughout the University in respect of procurement legislation (when relevant to grant funded projects), University purchasing policies and procedures, Research Council procurement requirements and other relevant laid-down requirements in respect of the purchase of goods and services.
To establish effective supply arrangements and working partnerships with external suppliers and providers for a diverse range of goods, services and works throughout all areas of the University.
To take a key role in monitoring the take-up on a University-wide basis of the various key supplier contracts
To help develop throughout the University an awareness of the potential and benefits of more effective purchasing.
To attend meetings and develop effective working arrangements with external purchasing consortia, internal and external specialist product groups and other relevant purchasing organisations, departments and groups within both the University and external organisations.
Key Responsibilities
To support colleagues in the Procurement Team, the CPO and staff across the University to provide a highly regarded and effective procurement service.
To ensure that approved purchasing policies, practices and procedures are followed within the University but particularly in relation to the Science/Research category.
To assist in the promotion of effective tendering and negotiating procedures and in the evaluation and vetting suppliers.
To establish and maintain effective supply arrangements and working partnerships with external suppliers and providers of science and research goods and services to the University.
To take a key role in promoting the use of established frameworks and other contracts.
To ensure accessible tools and templates are created and maintained for customers.
To attend meetings and develop effective working arrangements with external purchasing consortia, internal and external specialist product groups and other relevant purchasing organisations, departments and groups within both the University and external organisations.
To provide relevant advice to purchasers throughout the University in respect of procurement legislation (when relevant to grant funded projects), University purchasing policies and procedures, Research Council procurement requirements and other relevant laid-down requirements in respect of the purchase of goods and services.
To support the CPO in the provision of management information for Senior Officers, University Committees etc. relating to the University purchasing function and best purchasing practices generally. Including savings achieved.
To promote the Socially Responsible Purchasing Policy.
To undertake any other duties consistent with the skill level and nature of the post as required by the Director of Science & Research Procurement, or CPO.
This is a full time post (35 Hours per week), and you will be offered an indefinite contract
This advertiser has chosen not to accept applicants from your region.
0
Enterprise Data - Sales Specialist - Research & Data Science,Financial Solutions
London, London
Bloomberg
Posted 2 days ago
Job Viewed
Job Description
Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions Location London Business Area Sales and Client Service Ref # Description & Requirements Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financialmunity. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are. The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our teamprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by amon goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg. Our Team We're Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - we're an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the widermunity of 350,000 Bloomberg Terminal subscribers. Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. You'll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge. Bloomberg Enterprise Data - fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they can't operate. What's the Role? We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloomberg's Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows. Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation - powered by greater data availability, increasedputing capacity, and advanced techniques - is reshaping the investment landscape and introducing fresh challenges and opportunities. This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloomberg's market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing. We'll Trust You To: Link market trends and client workflows to clearly articulate the value of Bloomberg's Enterprise and Research data products Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows Partner with internal product and engineering teams to represent client feedback and influence product development Lead sales and retention efforts for Bloomberg's Research and Data Science dataset offerings Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams Validate client workflows and coordinate the appropriate technical and sales resources Help educate internal colleagues on how to identify and engage Quant-related sales opportunities Collaborate across business units to deliver value-added solutions tailored to client needs Contribute innovative ideas that anticipate client challenges and drive strategic value Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits Participate actively in cross-functional projects that support departmental and firm-wide initiatives Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements We'll Need You to Have: A minimum of 5 years' experience in financial services, ideally within a data, technology, ormercial role Proven consultative sales skills, including market research, lead generation, business development, and deal closing The ability tomunicateplex technical solutions clearly and persuasively to a variety of audiences Strong presentation,munication, and training skills in English A deep understanding of client business models and data needs across research, quant, and trading functions A track record of managing and developing relationships at a senior level, including with CxO stakeholders Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies Exposure to modern programming languages ( Python, R) and environments like Jupyter Notebooks A solution-oriented mindset and the ability to thrive in a fast-moving environment A strong desire to learn, adapt, and continuously grow bothmercially and technically Based in London, with a willingness to travel as needed We'd Love to See: Passion for innovation and building the future of Enterprise Solutions at Bloomberg Understanding of how machine learning and AI are being applied in financial markets Experience working with Research data or Alternative data sets Fluency in one or more European languages (especially French, Italian, or German) If you've worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager - we'd love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role. Job ID 3171_
This advertiser has chosen not to accept applicants from your region.
1
Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions
London, London
Bloomberg
Posted 13 days ago
Job Viewed
Job Description
Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions
Location
London
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
We're Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - we're an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. You'll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data - fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they can't operate.
What's the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloomberg's Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation - powered by greater data availability, increased computing capacity, and advanced techniques - is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloomberg's market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing.
We'll Trust You To:
+ Link market trends and client workflows to clearly articulate the value of Bloomberg's Enterprise and Research data products
+ Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
+ Partner with internal product and engineering teams to represent client feedback and influence product development
+ Lead sales and retention efforts for Bloomberg's Research and Data Science dataset offerings
+ Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
+ Validate client workflows and coordinate the appropriate technical and sales resources
+ Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
+ Collaborate across business units to deliver value-added solutions tailored to client needs
+ Contribute innovative ideas that anticipate client challenges and drive strategic value
+ Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
+ Participate actively in cross-functional projects that support departmental and firm-wide initiatives
+ Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
We'll Need You to Have:
+ A minimum of 5 years' experience in financial services, ideally within a data, technology, or commercial role
+ Proven consultative sales skills, including market research, lead generation, business development, and deal closing
+ The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
+ Strong presentation, communication, and training skills in English
+ A deep understanding of client business models and data needs across research, quant, and trading functions
+ A track record of managing and developing relationships at a senior level, including with CxO stakeholders
+ Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
+ Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
+ Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
+ A solution-oriented mindset and the ability to thrive in a fast-moving environment
+ A strong desire to learn, adapt, and continuously grow both commercially and technically
+ Based in London, with a willingness to travel as needed
We'd Love to See:
+ Passion for innovation and building the future of Enterprise Solutions at Bloomberg
+ Understanding of how machine learning and AI are being applied in financial markets
+ Experience working with Research data or Alternative data sets
+ Fluency in one or more European languages (especially French, Italian, or German)
+ Coming from the Client Side? Even Better.
If you've worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager - we'd love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
We're Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - we're an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. You'll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data - fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they can't operate.
What's the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloomberg's Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation - powered by greater data availability, increased computing capacity, and advanced techniques - is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloomberg's market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing.
We'll Trust You To:
+ Link market trends and client workflows to clearly articulate the value of Bloomberg's Enterprise and Research data products
+ Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
+ Partner with internal product and engineering teams to represent client feedback and influence product development
+ Lead sales and retention efforts for Bloomberg's Research and Data Science dataset offerings
+ Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
+ Validate client workflows and coordinate the appropriate technical and sales resources
+ Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
+ Collaborate across business units to deliver value-added solutions tailored to client needs
+ Contribute innovative ideas that anticipate client challenges and drive strategic value
+ Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
+ Participate actively in cross-functional projects that support departmental and firm-wide initiatives
+ Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
We'll Need You to Have:
+ A minimum of 5 years' experience in financial services, ideally within a data, technology, or commercial role
+ Proven consultative sales skills, including market research, lead generation, business development, and deal closing
+ The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
+ Strong presentation, communication, and training skills in English
+ A deep understanding of client business models and data needs across research, quant, and trading functions
+ A track record of managing and developing relationships at a senior level, including with CxO stakeholders
+ Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
+ Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
+ Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
+ A solution-oriented mindset and the ability to thrive in a fast-moving environment
+ A strong desire to learn, adapt, and continuously grow both commercially and technically
+ Based in London, with a willingness to travel as needed
We'd Love to See:
+ Passion for innovation and building the future of Enterprise Solutions at Bloomberg
+ Understanding of how machine learning and AI are being applied in financial markets
+ Experience working with Research data or Alternative data sets
+ Fluency in one or more European languages (especially French, Italian, or German)
+ Coming from the Client Side? Even Better.
If you've worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager - we'd love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
2
Research Associate (Computer Science) - Strand, London, WC2R 2LS
WC2R 2LS London, London
Kings College London
Posted 2 days ago
Job Viewed
Job Description
Research Associate (Computer Science) - Strand, London, WC2R 2LS About us
The Department of Informatics is looking to appoint a Research Associate to work in the area of AI for Proof Assistants.
About the roleWe are pleased to announce one postdoc position in the area of AI for proof assistants. The project is a close collaboration between King's College London, the University of Copenhagen, and the University of Sheffield.
The position is for two years. The suggested starting date is as soon as possible, but it is possible to start later for excellent candidates. The closing date is the 30th November 2027.
Research topics include:
- Designing next-generation formal reasoning mechanisms by combining machine learning (especially LLMs) with symbolic methods.
- Formulating new AI problems related to applications of proof assistants to mathematics and creating new benchmarks for them. Those AI problems should aim at improving proof assistants and their applicability to formalising mathematics as well as mathematical discovery
- Implementing new AI features in the Isabelle proof assistant and evaluating them on the benchmarks, when applicable
Applicants should have already completed, or be close to completing, a PhD in a relevant discipline. Applicants should be able to demonstrate scientific creativity, research independence, and the ability to communicate their ideas effectively in written and verbal form.
This is a full time post, and you will be offered a fixed term contract until the 30th November 2027.
Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.
This advertiser has chosen not to accept applicants from your region.
3
Principal Pharmaceutical Research Scientist (Process Development)
EC1A 1BB London, London
£85000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a globally recognized pharmaceutical company committed to advancing human health, is seeking an exceptional Principal Pharmaceutical Research Scientist to spearhead their Process Development team. This is a fully remote, strategic role, offering the chance to significantly influence the direction of drug development from your home office. You will be responsible for designing, optimizing, and scaling up innovative manufacturing processes for novel pharmaceutical compounds, from early-stage research through to commercialization. This requires extensive knowledge of organic chemistry, chemical engineering, process analytical technology (PAT), and regulatory compliance within the pharmaceutical industry. The ideal candidate will be a visionary leader with a profound scientific background and a proven ability to drive complex R&D projects to successful outcomes in a remote-first environment.
Key Responsibilities:
Qualifications:
This is a fully remote position, ideal for a candidate based in the **London, England, UK** area or anywhere within the UK. If you are a highly accomplished scientist ready to lead groundbreaking process development in a flexible, remote environment, we encourage your application.
Key Responsibilities:
- Lead the development and optimization of robust, scalable, and cost-effective manufacturing processes for small molecules and biologics.
- Design and execute laboratory experiments to define critical process parameters and develop comprehensive process understanding.
- Utilize advanced analytical techniques and Process Analytical Technology (PAT) to monitor and control manufacturing processes.
- Translate laboratory-scale processes to pilot and commercial-scale manufacturing, ensuring successful technology transfer.
- Collaborate closely with discovery research, formulation development, analytical development, and regulatory affairs teams.
- Ensure all process development activities comply with Good Manufacturing Practices (GMP) and relevant regulatory guidelines (FDA, EMA).
- Troubleshoot manufacturing issues and implement effective corrective and preventive actions (CAPAs).
- Develop and manage project plans, timelines, and resources for process development initiatives.
- Stay abreast of emerging technologies, scientific advancements, and industry best practices in pharmaceutical manufacturing.
- Author, review, and approve technical reports, development protocols, and regulatory submission documents.
- Mentor and guide junior scientists and engineers within the process development team.
- Contribute to the strategic direction of the R&D organization regarding manufacturing capabilities.
- Manage intellectual property and contribute to patent filings related to novel processes.
- Maintain a high level of scientific rigor and ethical conduct throughout all research activities.
Qualifications:
- PhD in Organic Chemistry, Chemical Engineering, Pharmaceutical Sciences, or a related discipline.
- Minimum of 10 years of experience in pharmaceutical process development, with a strong emphasis on API manufacturing.
- Extensive experience in process scale-up, optimization, and validation.
- In-depth knowledge of synthetic organic chemistry, reaction kinetics, and purification techniques.
- Proven experience with GMP regulations and regulatory filing requirements (IND, NDA, BLA).
- Familiarity with Process Analytical Technology (PAT) and Quality by Design (QbD) principles.
- Strong analytical and problem-solving skills, with a meticulous attention to detail.
- Excellent leadership, communication, and project management skills.
- Ability to work independently and effectively lead cross-functional teams in a remote setting.
- Demonstrated track record of successfully bringing pharmaceutical products from development to market.
- Experience with biologics manufacturing processes is a plus.
This is a fully remote position, ideal for a candidate based in the **London, England, UK** area or anywhere within the UK. If you are a highly accomplished scientist ready to lead groundbreaking process development in a flexible, remote environment, we encourage your application.
This advertiser has chosen not to accept applicants from your region.
4
Enterprise Data u2013 Sales Specialist u2013 Research & Data Science,Financial Solutions
London, London
Bloomberg
Posted 7 days ago
Job Viewed
Job Description
Enterprise Data u2013 Sales Specialist u2013 Research & Data Science, Financial Solutions
Location
London
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
Weu2019re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - weu2019re an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. Youu2019ll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data u2014 fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they canu2019t operate.
Whatu2019s the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloombergu2019s Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation u2014 powered by greater data availability, increased computing capacity, and advanced techniques u2014 is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloombergu2019s market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing.
Weu2019ll Trust You To:
Link market trends and client workflows to clearly articulate the value of Bloombergu2019s Enterprise and Research data products
Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
Partner with internal product and engineering teams to represent client feedback and influence product development
Lead sales and retention efforts for Bloombergu2019s Research and Data Science dataset offerings
Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
Validate client workflows and coordinate the appropriate technical and sales resources
Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
Collaborate across business units to deliver value-added solutions tailored to client needs
Contribute innovative ideas that anticipate client challenges and drive strategic value
Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
Participate actively in cross-functional projects that support departmental and firm-wide initiatives
Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
Weu2019ll Need You to Have:
A minimum of 5 years' experience in financial services, ideally within a data, technology, or commercial role
Proven consultative sales skills, including market research, lead generation, business development, and deal closing
The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
Strong presentation, communication, and training skills in English
A deep understanding of client business models and data needs across research, quant, and trading functions
A track record of managing and developing relationships at a senior level, including with CxO stakeholders
Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
A solution-oriented mindset and the ability to thrive in a fast-moving environment
A strong desire to learn, adapt, and continuously grow both commercially and technically
Based in London, with a willingness to travel as needed
Weu2019d Love to See:
Passion for innovation and building the future of Enterprise Solutions at Bloomberg
Understanding of how machine learning and AI are being applied in financial markets
Experience working with Research data or Alternative data sets
Fluency in one or more European languages (especially French, Italian, or German)
Coming from the Client Side? Even Better.
If youu2019ve worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager u2014 weu2019d love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
Weu2019re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - weu2019re an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. Youu2019ll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data u2014 fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they canu2019t operate.
Whatu2019s the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloombergu2019s Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation u2014 powered by greater data availability, increased computing capacity, and advanced techniques u2014 is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloombergu2019s market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing.
Weu2019ll Trust You To:
Link market trends and client workflows to clearly articulate the value of Bloombergu2019s Enterprise and Research data products
Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
Partner with internal product and engineering teams to represent client feedback and influence product development
Lead sales and retention efforts for Bloombergu2019s Research and Data Science dataset offerings
Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
Validate client workflows and coordinate the appropriate technical and sales resources
Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
Collaborate across business units to deliver value-added solutions tailored to client needs
Contribute innovative ideas that anticipate client challenges and drive strategic value
Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
Participate actively in cross-functional projects that support departmental and firm-wide initiatives
Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
Weu2019ll Need You to Have:
A minimum of 5 years' experience in financial services, ideally within a data, technology, or commercial role
Proven consultative sales skills, including market research, lead generation, business development, and deal closing
The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
Strong presentation, communication, and training skills in English
A deep understanding of client business models and data needs across research, quant, and trading functions
A track record of managing and developing relationships at a senior level, including with CxO stakeholders
Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
A solution-oriented mindset and the ability to thrive in a fast-moving environment
A strong desire to learn, adapt, and continuously grow both commercially and technically
Based in London, with a willingness to travel as needed
Weu2019d Love to See:
Passion for innovation and building the future of Enterprise Solutions at Bloomberg
Understanding of how machine learning and AI are being applied in financial markets
Experience working with Research data or Alternative data sets
Fluency in one or more European languages (especially French, Italian, or German)
Coming from the Client Side? Even Better.
If youu2019ve worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager u2014 weu2019d love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
5
Enterprise Data u2013 Sales Specialist u2013 Research & Data Science,Financial Solutions
London, London
Bloomberg
Posted 7 days ago
Job Viewed
Job Description
Enterprise Data u2013 Sales Specialist u2013 Research & Data Science, Financial Solutions
Location
London
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
Weu2019re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - weu2019re an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. Youu2019ll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data u2014 fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they canu2019t operate.
Whatu2019s the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloombergu2019s Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation u2014 powered by greater data availability, increased computing capacity, and advanced techniques u2014 is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloombergu2019s market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing.
Weu2019ll Trust You To:
Link market trends and client workflows to clearly articulate the value of Bloombergu2019s Enterprise and Research data products
Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
Partner with internal product and engineering teams to represent client feedback and influence product development
Lead sales and retention efforts for Bloombergu2019s Research and Data Science dataset offerings
Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
Validate client workflows and coordinate the appropriate technical and sales resources
Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
Collaborate across business units to deliver value-added solutions tailored to client needs
Contribute innovative ideas that anticipate client challenges and drive strategic value
Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
Participate actively in cross-functional projects that support departmental and firm-wide initiatives
Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
Weu2019ll Need You to Have:
A minimum of 5 years' experience in financial services, ideally within a data, technology, or commercial role
Proven consultative sales skills, including market research, lead generation, business development, and deal closing
The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
Strong presentation, communication, and training skills in English
A deep understanding of client business models and data needs across research, quant, and trading functions
A track record of managing and developing relationships at a senior level, including with CxO stakeholders
Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
A solution-oriented mindset and the ability to thrive in a fast-moving environment
A strong desire to learn, adapt, and continuously grow both commercially and technically
Based in London, with a willingness to travel as needed
Weu2019d Love to See:
Passion for innovation and building the future of Enterprise Solutions at Bloomberg
Understanding of how machine learning and AI are being applied in financial markets
Experience working with Research data or Alternative data sets
Fluency in one or more European languages (especially French, Italian, or German)
Coming from the Client Side? Even Better.
If youu2019ve worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager u2014 weu2019d love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
Weu2019re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - weu2019re an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. Youu2019ll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data u2014 fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they canu2019t operate.
Whatu2019s the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloombergu2019s Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation u2014 powered by greater data availability, increased computing capacity, and advanced techniques u2014 is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloombergu2019s market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing.
Weu2019ll Trust You To:
Link market trends and client workflows to clearly articulate the value of Bloombergu2019s Enterprise and Research data products
Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
Partner with internal product and engineering teams to represent client feedback and influence product development
Lead sales and retention efforts for Bloombergu2019s Research and Data Science dataset offerings
Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
Validate client workflows and coordinate the appropriate technical and sales resources
Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
Collaborate across business units to deliver value-added solutions tailored to client needs
Contribute innovative ideas that anticipate client challenges and drive strategic value
Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
Participate actively in cross-functional projects that support departmental and firm-wide initiatives
Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
Weu2019ll Need You to Have:
A minimum of 5 years' experience in financial services, ideally within a data, technology, or commercial role
Proven consultative sales skills, including market research, lead generation, business development, and deal closing
The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
Strong presentation, communication, and training skills in English
A deep understanding of client business models and data needs across research, quant, and trading functions
A track record of managing and developing relationships at a senior level, including with CxO stakeholders
Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
A solution-oriented mindset and the ability to thrive in a fast-moving environment
A strong desire to learn, adapt, and continuously grow both commercially and technically
Based in London, with a willingness to travel as needed
Weu2019d Love to See:
Passion for innovation and building the future of Enterprise Solutions at Bloomberg
Understanding of how machine learning and AI are being applied in financial markets
Experience working with Research data or Alternative data sets
Fluency in one or more European languages (especially French, Italian, or German)
Coming from the Client Side? Even Better.
If youu2019ve worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager u2014 weu2019d love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
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6
Research Scientist, Factuality
London, London
Google
Posted 6 days ago
Job Viewed
Job Description
**Minimum qualifications:**
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ 2 years of experience leading a research agenda.
+ Experience in Python, JavaScript, R, Java, or C++.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
**Preferred qualifications:**
+ Experience with LLM training and generative models.
+ Experience in software engineering for Machine Learning.
+ Publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM).
The Gemini Factuality team is dedicated to ensuring the factual accuracy and reliability of our next-generation AI models. As a Research Scientist on this team, you will play a critical role in measuring and enhancing the factuality of Gemini. You will collaborate extensively with numerous research and engineering teams to drive foundational improvements. You will also require a unique blend of theoretical research and applied science to solve one of the most critical issues in Artificial Intelligence (AI) today.
**Responsibilities:**
+ Drive research efforts to improve complex frontier Gemini capabilities, such as factuality.
+ Review the latest literature to guide research and experimental directions.
+ Curate and generate data to evaluate and improve Gemini capabilities.
+ Design and conduct supervised fine-tuning and reinforcement learning experiments to improve the performance of Gemini capabilities such as factuality.
+ Collaborate with partners and product functions to deliver new model capabilities to production.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ 2 years of experience leading a research agenda.
+ Experience in Python, JavaScript, R, Java, or C++.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
**Preferred qualifications:**
+ Experience with LLM training and generative models.
+ Experience in software engineering for Machine Learning.
+ Publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM).
The Gemini Factuality team is dedicated to ensuring the factual accuracy and reliability of our next-generation AI models. As a Research Scientist on this team, you will play a critical role in measuring and enhancing the factuality of Gemini. You will collaborate extensively with numerous research and engineering teams to drive foundational improvements. You will also require a unique blend of theoretical research and applied science to solve one of the most critical issues in Artificial Intelligence (AI) today.
**Responsibilities:**
+ Drive research efforts to improve complex frontier Gemini capabilities, such as factuality.
+ Review the latest literature to guide research and experimental directions.
+ Curate and generate data to evaluate and improve Gemini capabilities.
+ Design and conduct supervised fine-tuning and reinforcement learning experiments to improve the performance of Gemini capabilities such as factuality.
+ Collaborate with partners and product functions to deliver new model capabilities to production.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
7
Clinical Research Scientist
SW1A 0AA London, London
£65000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a pioneering pharmaceutical company, is looking for an innovative Clinical Research Scientist to contribute to groundbreaking drug development from the comfort of their home. This is a fully remote position, offering the flexibility to work from anywhere within the UK, with a focus on designing and executing clinical trials that will shape the future of medicine. You will be responsible for the scientific integrity of clinical studies, from protocol development through to final study report.
Key responsibilities include analyzing complex data sets, interpreting results, and presenting findings to internal stakeholders and regulatory bodies. You will collaborate closely with cross-functional teams, including statisticians, medical writers, and regulatory affairs specialists, to ensure compliance with all relevant guidelines and regulations. This role demands a deep understanding of pharmaceutical research methodologies, statistical analysis, and regulatory requirements (e.g., GCP, ICH). A PhD or equivalent in a relevant life science discipline (e.g., pharmacology, biochemistry, molecular biology) is highly preferred, along with a proven track record of successfully managing clinical trials.
The ideal candidate will possess exceptional analytical skills, a meticulous attention to detail, and the ability to work independently with minimal supervision. Strong written and verbal communication skills are essential for documenting research, writing manuscripts for publication, and presenting scientific information clearly and concisely. You should be adept at managing multiple projects simultaneously and meeting tight deadlines. This is an exceptional opportunity to join a forward-thinking organization and make a significant impact on global health, working on cutting-edge therapies. Your expertise will be crucial in bringing life-changing treatments to patients worldwide. Embrace the future of pharmaceutical research in this exciting remote role.
Key responsibilities include analyzing complex data sets, interpreting results, and presenting findings to internal stakeholders and regulatory bodies. You will collaborate closely with cross-functional teams, including statisticians, medical writers, and regulatory affairs specialists, to ensure compliance with all relevant guidelines and regulations. This role demands a deep understanding of pharmaceutical research methodologies, statistical analysis, and regulatory requirements (e.g., GCP, ICH). A PhD or equivalent in a relevant life science discipline (e.g., pharmacology, biochemistry, molecular biology) is highly preferred, along with a proven track record of successfully managing clinical trials.
The ideal candidate will possess exceptional analytical skills, a meticulous attention to detail, and the ability to work independently with minimal supervision. Strong written and verbal communication skills are essential for documenting research, writing manuscripts for publication, and presenting scientific information clearly and concisely. You should be adept at managing multiple projects simultaneously and meeting tight deadlines. This is an exceptional opportunity to join a forward-thinking organization and make a significant impact on global health, working on cutting-edge therapies. Your expertise will be crucial in bringing life-changing treatments to patients worldwide. Embrace the future of pharmaceutical research in this exciting remote role.
This advertiser has chosen not to accept applicants from your region.
8
Agronomy Research Scientist
SW1A 0AA London, London
£45000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is a leading agricultural science organization seeking a dedicated Agronomy Research Scientist to join their innovative team. This role is based at our prominent research facilities in **London, England, UK**, and requires a strong presence on-site to conduct field and laboratory research. You will be instrumental in developing and advancing sustainable agricultural practices, focusing on crop physiology, soil science, and yield optimization. We are looking for a scientifically rigorous individual with a passion for improving agricultural outcomes.
Responsibilities:
Qualifications:
This is a significant opportunity to contribute to the advancement of agricultural science and sustainable food production, working within a dedicated research environment in the heart of London.
Responsibilities:
- Design, execute, and manage field and laboratory experiments related to crop production and soil health.
- Collect, analyze, and interpret complex agronomic data, including soil samples, plant tissue, and yield measurements.
- Develop and test new crop varieties, fertilizers, pesticides, and cultivation techniques.
- Conduct research into soil fertility, nutrient management, water conservation, and pest/disease control.
- Prepare detailed research reports, scientific publications, and presentations for internal and external stakeholders.
- Collaborate with a multidisciplinary team of scientists, agronomists, and technicians.
- Stay abreast of the latest advancements in agronomy, agricultural technology, and sustainable farming practices.
- Assist in the development of grant proposals and secure research funding.
- Ensure compliance with all safety protocols and ethical guidelines in research activities.
- Contribute to the development of best practice recommendations for farmers and agricultural stakeholders.
- Manage research budgets and timelines effectively.
- Travel to various research sites and agricultural operations as needed.
Qualifications:
- Ph.D. or Master's degree in Agronomy, Crop Science, Soil Science, Plant Science, or a closely related field.
- Minimum of 3-5 years of hands-on research experience in agronomy or a related agricultural science discipline.
- Demonstrated experience in experimental design, data analysis (using statistical software like R or SAS), and interpretation.
- Strong knowledge of crop physiology, soil chemistry, plant pathology, and entomology.
- Experience with field research methodologies and laboratory techniques.
- Excellent written and verbal communication skills, with a proven ability to publish research.
- Strong analytical and problem-solving abilities.
- Ability to work independently and as part of a collaborative research team.
- Proficiency in relevant software for data analysis and reporting.
- Valid driver's license and willingness to travel to field sites.
This is a significant opportunity to contribute to the advancement of agricultural science and sustainable food production, working within a dedicated research environment in the heart of London.
This advertiser has chosen not to accept applicants from your region.
9