9 Research And Development jobs in Cambridgeshire
Research And Development Manager
Alconbury, Eastern
MM Flowers
Posted today
Job Viewed
Job Description
We are currently looking for a Research and Development Manager
Purpose of the Role
To apply observational and quantitative methods to enhance the consumer experience in purchasing horticultural products, especially cut flowers. The role focuses on developing innovative agronomic and post-harvest solutions to industry challenges, while identifying opportunities to differentiate the business through data-driven consultancy and testing services.
Core Business Responsibilities
- Design or approve all project experiments conducted within APEX
- Ensure standardized methodologies and daily data collection (364 days/year)
- Maintain accuracy and integrity of data systems/databases
- Oversee team and facility operations in line with client expectations and quality standards
- Lead performance management, training, and development for APEX staff
- Identify and implement beneficial technologies and practices through research findings
- Prepare timely and accurate reports, presenting data and insights to internal and external clients
- Build and sustain strong academic collaborations; stay current with scientific advancements
Person Profile
Critical Success Factors
- Timely and efficient delivery of pre-determined projects and trials
- Effective management of departmental operations (staff, H&S, costs, quality)
- Recognition in the industry for independence, quality, and timeliness of research
- Clear and confident communication of key findings to a wide range of stakeholders
- Creation of novel, effective solutions to persistent industry problems
Qualifications
- Minimum: BSc Degree (preferably in Biological Sciences)
- Full, valid UK driving licence
- Strong IT skills with extensive Microsoft Office experience
- Proficient in statistical software (e.g., R, SPSS, Minitab)
Skills & Experience
- Experience in the horticultural and/or retail industry (advantageous)
- Knowledge of plant breeding, production, and post-harvest processes
- Familiarity with plant biology and physiology
- Excellent analytical, problem-solving, and organisational abilities
Attributes
- Passion for horticulture and customer-centric mindset
- Strong commercial and scientific acumen
- Ability to build trusted relationships with stakeholders at all levels
- Pragmatic thinker with high attention to detail
- Flexibility to meet work schedule demands, including travel (sometimes short notice)
So, what’s the package? When you work at MM Flowers you get more than just a salary.
- Holiday allowances are calculated on the days worked and you can find your allowance in your offer letter.
- Pension Scheme - You will be auto-enrolled onto the company pension scheme after 3 months. At present we operate an auto enrolment scheme where you will benefit from contributions from us.
- Onsite Parking – free parking is available onsite.
- Recommend a Friend Scheme – £250 is payable to you when you recommend a friend who is successful through the application process and successfully completes their 3-month probationary period.
- Career Progression – we actively encourage employees from within the business to consider roles which become available and whether that be within their field or want to consider a cross functional move.
- Wonderful working environment– we are all working in a modern contemporary purpose-built State of the Art facility.
- We are committed to an open ethical and fair working environment and have a Whistleblowing Policy in place to ensure complaints and concerns are handled appropriately.
- We work with an Occupational Health provider to support employees both mentally and physically.
- We run corporate engagement initiatives throughout the year.
- We gather employee feedback annually to see how we can improve the employee experience.
- Grocery Aid
What are you waiting for, we would love to hear from you.
If this position doesn’t match your experience but you love the sound of MM Flowers we welcome speculative applicants, please forward your cv and a covering letter about the type of role or function you are interested in being considered for.
MM Flowers are a proud equal opportunity employer, and we understand the benefits of nurturing a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, sex, religion, national origin, age, sexual orientation, gender identity, gender expression, disability, genetic information. Applicants who require a reasonable accommodation to complete the job role advertised are encouraged to apply.
We believe we can only achieve our potential if we employ a diverse population of people, ideas, and perspectives. We are committed to grow our workplace culture, encouraging team members to feel unique valued and engaged, enabling them to achieve their full potential.
All recruitment activities go through our internal Talent Acquisition Team and currently, this role doesn’t require agency input. Please do not forward resumes directly to MM Flowers employees/managers; we do not accept unsolicited resumes and are not responsible for any associated fees.
This advertiser has chosen not to accept applicants from your region.
0
Research Software Development Engineer,MSR AI for Science
Cambridge, Eastern
Microsoft Corporation
Posted 20 days ago
Job Viewed
Job Description
We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on u2018fifth paradigmu2019 scenarios. Through these advances, we aim to empower real-world impact on some of the most pressing problems facing society including climate change, green energy, sustainable materials, and the discovery of new drugs.
AI for Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe.
The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork.
We are seeking a highly motivated and experienced Sr RSDE with expertise in machine learning and distributed systems. The ideal candidate will have a deep understanding of machine learning and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.
**Responsibilities**
Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
Build and optimize distributed data processing and model building pipelines.
Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
Document and share best practices across the organization.
Maintain the highest standards in code quality and software design.
**Qualifications**
Required:
Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
Strong familiarity with Linux and the open-source ecosystem.
Proficient experience working with machine learning and large datasets.
In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm).
Experience building complex systems on the cloud.
Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
Strong analytical, problem-solving, and communication skills.
Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
AI for Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe.
The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork.
We are seeking a highly motivated and experienced Sr RSDE with expertise in machine learning and distributed systems. The ideal candidate will have a deep understanding of machine learning and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.
**Responsibilities**
Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
Build and optimize distributed data processing and model building pipelines.
Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
Document and share best practices across the organization.
Maintain the highest standards in code quality and software design.
**Qualifications**
Required:
Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
Strong familiarity with Linux and the open-source ecosystem.
Proficient experience working with machine learning and large datasets.
In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm).
Experience building complex systems on the cloud.
Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
Strong analytical, problem-solving, and communication skills.
Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
1
Research Software Development Engineer,MSR AI for Science
Cambridge, Eastern
Microsoft Corporation
Posted 20 days ago
Job Viewed
Job Description
We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on u2018fifth paradigmu2019 scenarios. Through these advances, we aim to empower real-world impact on some of the most pressing problems facing society including climate change, green energy, sustainable materials, and the discovery of new drugs.
AI for Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe.
The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork.
We are seeking a highly motivated and experienced Sr RSDE with expertise in machine learning and distributed systems. The ideal candidate will have a deep understanding of machine learning and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.
**Responsibilities**
Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
Build and optimize distributed data processing and model building pipelines.
Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
Document and share best practices across the organization.
Maintain the highest standards in code quality and software design.
**Qualifications**
Required:
Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
Strong familiarity with Linux and the open-source ecosystem.
Proficient experience working with machine learning and large datasets.
In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm).
Experience building complex systems on the cloud.
Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
Strong analytical, problem-solving, and communication skills.
Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
AI for Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe.
The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork.
We are seeking a highly motivated and experienced Sr RSDE with expertise in machine learning and distributed systems. The ideal candidate will have a deep understanding of machine learning and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.
**Responsibilities**
Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
Build and optimize distributed data processing and model building pipelines.
Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
Document and share best practices across the organization.
Maintain the highest standards in code quality and software design.
**Qualifications**
Required:
Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
Strong familiarity with Linux and the open-source ecosystem.
Proficient experience working with machine learning and large datasets.
In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm).
Experience building complex systems on the cloud.
Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
Strong analytical, problem-solving, and communication skills.
Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
2
Research Software Development Engineer, MSR AI for Science
Cambridge, Eastern
Microsoft Corporation
Posted 20 days ago
Job Viewed
Job Description
We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on 'fifth paradigm' scenarios. Through these advances, we aim to empower real-world impact on some of the most pressing problems facing society including climate change, green energy, sustainable materials, and the discovery of new drugs.
AI for Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe.
The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork.
We are seeking a highly motivated and experienced Sr RSDE with expertise in machine learning and distributed systems. The ideal candidate will have a deep understanding of machine learning and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.
**Responsibilities**
+ Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
+ Build and optimize distributed data processing and model building pipelines.
+ Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
+ Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
+ Document and share best practices across the organization.
+ Maintain the highest standards in code quality and software design.
**Qualifications**
Required:
+ Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
+ Strong familiarity with Linux and the open-source ecosystem.
+ Proficient experience working with machine learning and large datasets.
+ In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm).
+ Experience building complex systems on the cloud.
+ Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
+ Strong analytical, problem-solving, and communication skills.
+ Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
AI for Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe.
The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasises the importance of collaboration and teamwork.
We are seeking a highly motivated and experienced Sr RSDE with expertise in machine learning and distributed systems. The ideal candidate will have a deep understanding of machine learning and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.
**Responsibilities**
+ Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
+ Build and optimize distributed data processing and model building pipelines.
+ Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
+ Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
+ Document and share best practices across the organization.
+ Maintain the highest standards in code quality and software design.
**Qualifications**
Required:
+ Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
+ Strong familiarity with Linux and the open-source ecosystem.
+ Proficient experience working with machine learning and large datasets.
+ In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm).
+ Experience building complex systems on the cloud.
+ Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
+ Strong analytical, problem-solving, and communication skills.
+ Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
3
Senior FMCG Product Development Manager
CB2 1TN Cambridge, Eastern
£70000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
We are seeking an innovative and results-oriented Senior FMCG Product Development Manager to lead our product innovation pipeline. This is a fully remote position, allowing you to drive product strategy and development from your home base. You will be responsible for identifying market opportunities, conceptualizing new products, managing the entire product lifecycle from ideation to launch, and ensuring product quality and commercial success within the Fast-Moving Consumer Goods (FMCG) sector. The ideal candidate will have a deep understanding of consumer trends, product formulation, packaging, and regulatory requirements, coupled with strong project management and leadership skills. You will collaborate closely with cross-functional teams, including R&D, marketing, sales, and supply chain, to bring cutting-edge products to market.
Key Responsibilities:
Key Responsibilities:
- Lead the development and execution of new FMCG product strategies.
- Identify market trends, consumer needs, and competitive opportunities.
- Manage the end-to-end product development process, from ideation to commercial launch.
- Oversee product formulation, prototyping, testing, and refinement.
- Collaborate with R&D and manufacturing teams to ensure product quality and scalability.
- Develop product specifications, packaging designs, and marketing claims.
- Ensure compliance with food safety, labelling, and regulatory standards.
- Manage product development budgets and timelines effectively.
- Conduct consumer research and sensory evaluations.
- Work closely with marketing and sales teams to ensure successful product launches.
- Mentor and guide junior product development professionals.
- Master's degree in Food Science, Chemistry, Product Development, Business, or a related field.
- Minimum of 8 years of experience in FMCG product development, with a strong focus on innovation and new product launches.
- Proven track record of successfully bringing new FMCG products to market.
- In-depth knowledge of product formulation, ingredient science, and manufacturing processes.
- Strong understanding of consumer insights, market analysis, and brand strategy.
- Experience with packaging development and design principles.
- Familiarity with regulatory requirements in the food and beverage industry.
- Excellent project management, analytical, and problem-solving skills.
- Exceptional leadership, communication, and cross-functional collaboration skills.
- Demonstrated ability to thrive in a remote work environment.
This advertiser has chosen not to accept applicants from your region.
4
Research Associate
Cambridge, Eastern
Nuclera
Posted today
Job Viewed
Job Description
Description
Nuclera is a venture-backed, founder-driven biotech company headquartered in Cambridge, UK with significant operations in Boston, USA. The company’s mission is to improve human health by making proteins accessible. We are beginning this mission through the launch of our eProtein Discovery™ platform. eProtein Discovery is a breakthrough protein expression, characterization, and purification technology, consisting of a lab-based benchtop instrument, cloud-based software and proprietary cartridges and consumables. The goal is to enable rapid protein access to life science researchers around the world.
The successful candidate will be responsible for amplifying DNA constructs as well as designing, delivering and analyzing custom projects using our eProtein Discovery Platform in strict accordance with SOPs and work instructions. This position requires the ability to deliver under tight deadlines, attention to detail and strong organizational skills while working independently in a fast-paced environment. The ideal candidate will have a strong background in molecular biology, protein science, or a related discipline, with proven hands-on experience in an industry setting.
About the role:
- Perform PCR to prepare DNA constructs for cell-free protein expression.
- Carry out protein purification, quantification and SDS PAGE analysis.
- Design, execute and analyze experiments using Nuclera’s eProtein Discovery Platform.
- Adhere strictly to Work Instructions and Standard Operating Procedures to ensure consistency and quality.
- Systematically organize, track and manage large numbers of biological samples.
- Accurately record and document experimental methods, observations and results.
Requirements
Essential
- BSc in biochemistry, molecular biology, or a related discipline, with a minimum of 3 years’ industry experience
- Proven track record of generating reliable data and delivering results within tight deadlines.
- Hands-on experience in molecular biology techniques including PCR, PCR clean-up and agarose gel electrophoresis.
- Experience with protein science techniques, including affinity-based purification, protein quantification and SDS PAGE analysis.
- Strong organizational skills.
- Eligible to work in the UK.
Desirable
- MSc in biochemistry, molecular biology, or related discipline, with a minimum 2 years’ industry experience
- Previous experience in a Contract Research Organization (CRO) and/or the biotechnology industry.
- Familiarity with liquid handling platforms such as Tecan and KingFisher.
- Experience using automated electrophoresis systems such as the. Fragment Analyzer.
- Understanding of the principles of cell-free protein synthesis technologies.
Benefits
What we offer:
In addition to competitive salaries, we offer a range of benefits including:
- Company bonus scheme of 5%
- Life insurance
- Private medical insurance and cash plan
- 25 days' annual leave + Bank Holidays
- Enhanced employer's pension contributions
- Enhanced maternity and paternity Leave
- Investment in professional development and learning
- Access to amenities on Vision Park and in Histon
- Fresh fruit, tea, coffee, and snacks in the office
- Organised team events
This advertiser has chosen not to accept applicants from your region.
5
Research Associate - Service Fulfillment
Cambridge, Eastern
Nuclera
Posted 3 days ago
Job Viewed
Job Description
Nuclera is a venture-backed, founder-driven biotech company headquartered in Cambridge, UK with significant operations in Boston, USA. The company’s mission is to improve human health by making proteins accessible. We are beginning this mission through the launch of our eProtein Discovery™ platform. eProtein Discovery is a breakthrough protein expression, characterization, and purification technology, consisting of a lab-based benchtop instrument, cloud-based software and proprietary cartridges and consumables. The goal is to enable rapid protein access to life science researchers around the world.
The successful candidate will be responsible for amplifying DNA constructs as well as designing, delivering and analyzing custom projects using our eProtein Discovery Platform in strict accordance with SOPs and work instructions. This position requires the ability to deliver under tight deadlines, attention to detail and strong organizational skills while working independently in a fast-paced environment. The ideal candidate will have a strong background in molecular biology, protein science, or a related discipline, with proven hands-on experience in an industry setting.
About the role:
- Perform PCR to prepare DNA constructs for cell-free protein expression.
- Carry out protein purification, quantification and SDS PAGE analysis.
- Design, execute and analyze experiments using Nuclera’s eProtein Discovery Platform.
- Adhere strictly to Work Instructions and Standard Operating Procedures to ensure consistency and quality.
- Systematically organize, track and manage large numbers of biological samples.
- Accurately record and document experimental methods, observations and results.
Requirements
Essential
- BSc in biochemistry, molecular biology, or a related discipline, with a minimum of 3 years’ industry experience
- Proven track record of generating reliable data and delivering results within tight deadlines.
- Hands-on experience in molecular biology techniques including PCR, PCR clean-up and agarose gel electrophoresis.
- Experience with protein science techniques, including affinity-based purification, protein quantification and SDS PAGE analysis.
- Strong organizational skills.
- Eligible to work in the UK.
Desirable
- MSc in biochemistry, molecular biology, or related discipline, with a minimum 2 years’ industry experience
- Previous experience in a Contract Research Organization (CRO) and/or the biotechnology industry.
- Familiarity with liquid handling platforms such as Tecan and KingFisher.
- Experience using automated electrophoresis systems such as the. Fragment Analyzer.
- Understanding of the principles of cell-free protein synthesis technologies.
Benefits
What we offer:
In addition to competitive salaries, we offer a range of benefits including:
- Company bonus scheme of 5%
- Life insurance
- Private medical insurance and cash plan
- 25 days' annual leave + Bank Holidays
- Enhanced employer's pension contributions
- Enhanced maternity and paternity Leave
- Investment in professional development and learning
- Access to amenities on Vision Park and in Histon
- Fresh fruit, tea, coffee, and snacks in the office
- Organised team events
This advertiser has chosen not to accept applicants from your region.
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6
Senior Clinical Research Associate - Pharmaceuticals
CB2 1AA Cambridge, Eastern
£55000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a leading global pharmaceutical company, is seeking an experienced Senior Clinical Research Associate (CRA) to join their dedicated clinical operations team, based in Cambridge, Cambridgeshire, UK . This vital role involves overseeing the conduct of clinical trials, ensuring compliance with protocols, regulations, and Good Clinical Practice (GCP) guidelines. The ideal candidate will possess extensive experience in clinical research, strong therapeutic area knowledge, and exceptional organizational and communication skills.
As a Senior CRA, you will be responsible for site selection, initiation, monitoring, and close-out activities for clinical trials. This includes conducting site visits to verify data accuracy, ensuring patient safety, and confirming adherence to study protocols. You will manage multiple trial sites, build strong relationships with investigators and study staff, and provide training on study-related procedures. Responsibilities also include managing trial documentation, tracking study progress, identifying and resolving site-level issues, and ensuring timely data collection. You will play a key role in ensuring the integrity and quality of clinical trial data.
We are looking for candidates with a Bachelor's degree in a life science, nursing, or a related field, and a minimum of 5 years of experience as a Clinical Research Associate. Significant experience in monitoring clinical trials, including an in-depth understanding of ICH-GCP guidelines and regulatory requirements (e.g., FDA, EMA), is essential. Strong knowledge of specific therapeutic areas, such as oncology, cardiology, or neurology, is highly desirable. Excellent communication, interpersonal, and problem-solving skills are required, along with the ability to manage a complex workload and travel frequently. This hybrid role offers a mix of remote work for administrative tasks and on-site visits to clinical trial locations. Join a company committed to advancing healthcare through innovative research.
Responsibilities:
Qualifications:
As a Senior CRA, you will be responsible for site selection, initiation, monitoring, and close-out activities for clinical trials. This includes conducting site visits to verify data accuracy, ensuring patient safety, and confirming adherence to study protocols. You will manage multiple trial sites, build strong relationships with investigators and study staff, and provide training on study-related procedures. Responsibilities also include managing trial documentation, tracking study progress, identifying and resolving site-level issues, and ensuring timely data collection. You will play a key role in ensuring the integrity and quality of clinical trial data.
We are looking for candidates with a Bachelor's degree in a life science, nursing, or a related field, and a minimum of 5 years of experience as a Clinical Research Associate. Significant experience in monitoring clinical trials, including an in-depth understanding of ICH-GCP guidelines and regulatory requirements (e.g., FDA, EMA), is essential. Strong knowledge of specific therapeutic areas, such as oncology, cardiology, or neurology, is highly desirable. Excellent communication, interpersonal, and problem-solving skills are required, along with the ability to manage a complex workload and travel frequently. This hybrid role offers a mix of remote work for administrative tasks and on-site visits to clinical trial locations. Join a company committed to advancing healthcare through innovative research.
Responsibilities:
- Perform site selection, initiation, monitoring, and close-out visits.
- Ensure study conduct is in compliance with protocol, GCP, and regulatory requirements.
- Verify data accuracy and completeness through source data verification (SDV).
- Monitor patient safety and report adverse events according to study procedures.
- Manage multiple clinical trial sites and build strong relationships with site staff.
- Provide training and support to investigators and study coordinators.
- Oversee trial documentation and regulatory binder maintenance.
- Identify and resolve site-level issues and discrepancies.
- Ensure timely enrollment and data collection.
- Prepare and present site monitoring reports.
Qualifications:
- Bachelor's degree in Life Sciences, Nursing, or related field.
- Minimum of 5 years of experience as a Clinical Research Associate (CRA).
- In-depth knowledge of ICH-GCP guidelines and regulatory requirements.
- Experience in monitoring clinical trials across various phases.
- Strong therapeutic area expertise is preferred.
- Excellent communication, interpersonal, and organizational skills.
- Ability to manage multiple priorities and meet deadlines.
- Proficiency in clinical trial management systems (CTMS) and EDC systems.
- Willingness to travel as required for site visits.
- Strong problem-solving and critical thinking abilities.
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Lead Clinical Research Associate (Remote)
CB2 1AA Cambridge, Eastern
£50000 Annually
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Job Description
Our client, a leading pharmaceutical company at the forefront of medical innovation, is seeking a highly motivated and experienced Lead Clinical Research Associate (CRA) to join its dynamic clinical operations team. This role is fully remote, allowing you to contribute from anywhere within the UK. As a Lead CRA, you will play a pivotal role in the successful execution of clinical trials, ensuring adherence to protocols, regulatory requirements, and quality standards. You will be responsible for monitoring trial sites, building strong relationships with investigators and site staff, and ensuring the accurate and timely collection of clinical data. Key responsibilities include overseeing a portfolio of clinical trials; conducting site initiation visits, monitoring visits, and site closure visits; training and mentoring junior CRAs; ensuring compliance with Good Clinical Practice (GCP) and all applicable regulations; verifying the quality and integrity of clinical trial data; managing site-level activities and resolving issues; maintaining accurate and comprehensive trial documentation; and contributing to the development and review of clinical trial protocols and study documents. A Bachelor's degree in a life science, nursing, or related discipline is required; advanced degrees are a plus. A minimum of 5-7 years of experience as a CRA in the pharmaceutical or biotech industry is essential, with demonstrated experience in a lead or supervisory capacity. Strong knowledge of ICH-GCP guidelines and regulatory requirements for clinical trials is mandatory. Excellent organizational, communication, and interpersonal skills are crucial for building effective relationships with study sites. The ability to manage multiple priorities in a fast-paced, remote environment is essential. This is an exceptional opportunity to advance your career in clinical research within a globally recognized pharmaceutical leader, contributing to the development of life-changing medicines from the comfort of your own home.
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