50 Postdoctoral Researcher jobs in London
Postdoctoral Researcher - Computer Vision and Generative AI (PhD)
London, London
Meta
Posted 20 days ago
Job Viewed
Job Description
**Summary:**
Meta is seeking a Postdoctoral Researcher to join the Monetization Generative AI (MGenAI) team in London. MGenAI London is focused on making significant progress in AI-powered content generation for ads applications. In the past 3-4 years, generative AI has seen some of the most significant breakthroughs ever achieved, particularly in large language models and generative image models. Meta Monetization GenAI's mission is to lead the charge in applied generative AI technology and build products that will help businesses become more productive and efficient. The London team is particularly focused on image and video ad creative generation. The ideal candidate will have a keen interest in developing cutting-edge GenAI technologies that can make a product impact. Term length would be considered on a case-by-case basis.
**Required Skills:**
Postdoctoral Researcher - Computer Vision and Generative AI (PhD) Responsibilities:
1. Collaborate on research that enables AI-based image and video generation and editing
2. Contribute research that can be applied to Meta product development
3. Influence progress of relevant research communities by producing publications
4. Collaborate and increase productivity on existing Monetization GenAI projects as a contributing team member
**Minimum Qualifications:**
Minimum Qualifications:
5. Currently has or is in the process of obtaining a PhD degree in Computer Vision or Machine Learning
6. Track record of publications that demonstrate experience in a quantitative domain
7. Experience collaborating within a team to solve analytical problems using quantitative approaches
8. Ability to manipulate and analyze high-volume, high-dimensionality data from varying sources
9. Knowledge in a programming language (particularly Python)
10. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
11. First-author publications at peer-reviewed AI conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR)
12. Experience conducting original research that can be applied to Monetization GenAI products
**Industry:** Internet
Meta is seeking a Postdoctoral Researcher to join the Monetization Generative AI (MGenAI) team in London. MGenAI London is focused on making significant progress in AI-powered content generation for ads applications. In the past 3-4 years, generative AI has seen some of the most significant breakthroughs ever achieved, particularly in large language models and generative image models. Meta Monetization GenAI's mission is to lead the charge in applied generative AI technology and build products that will help businesses become more productive and efficient. The London team is particularly focused on image and video ad creative generation. The ideal candidate will have a keen interest in developing cutting-edge GenAI technologies that can make a product impact. Term length would be considered on a case-by-case basis.
**Required Skills:**
Postdoctoral Researcher - Computer Vision and Generative AI (PhD) Responsibilities:
1. Collaborate on research that enables AI-based image and video generation and editing
2. Contribute research that can be applied to Meta product development
3. Influence progress of relevant research communities by producing publications
4. Collaborate and increase productivity on existing Monetization GenAI projects as a contributing team member
**Minimum Qualifications:**
Minimum Qualifications:
5. Currently has or is in the process of obtaining a PhD degree in Computer Vision or Machine Learning
6. Track record of publications that demonstrate experience in a quantitative domain
7. Experience collaborating within a team to solve analytical problems using quantitative approaches
8. Ability to manipulate and analyze high-volume, high-dimensionality data from varying sources
9. Knowledge in a programming language (particularly Python)
10. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
11. First-author publications at peer-reviewed AI conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR)
12. Experience conducting original research that can be applied to Monetization GenAI products
**Industry:** Internet
This advertiser has chosen not to accept applicants from your region.
0
Senior Postdoctoral Research Fellow in Genomics
SW1A 0AA London, London
£45000 annum (pro
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a leading research institution, is looking for a highly motivated and experienced Senior Postdoctoral Research Fellow to join their cutting-edge genomics research group based in London, England, UK . This is an exciting opportunity for a talented scientist to contribute to groundbreaking research in the field of human genomics, focusing on the genetic basis of complex diseases. The role will involve designing and executing experiments, analysing large-scale genomic datasets, and collaborating with a multidisciplinary team of scientists and clinicians. The successful candidate will be expected to take a leading role in specific research projects, mentor junior researchers, and contribute to manuscript preparation and grant writing.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead independent research projects focused on human genomics, including study design, experimental execution, and data analysis.
- Utilise advanced bioinformatics tools and computational methods to analyse next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-seq).
- Develop and implement novel analytical pipelines for genomic data.
- Interpret complex genomic findings in the context of human disease and biological mechanisms.
- Collaborate with clinicians and other researchers to translate genomic discoveries into clinical applications.
- Author high-impact publications in peer-reviewed journals.
- Present research findings at international conferences and seminars.
- Supervise and mentor junior postdoctoral researchers, PhD students, and research assistants.
- Contribute to the writing of grant proposals to secure funding for future research.
- Maintain detailed laboratory notebooks and ensure data integrity and reproducibility.
- Stay current with the latest advancements in genomics, bioinformatics, and relevant biological fields.
Qualifications:
- PhD in Genomics, Genetics, Bioinformatics, Molecular Biology, or a closely related field.
- A strong publication record in reputable peer-reviewed journals.
- Demonstrated expertise in human genomics, including experience with NGS data analysis.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R).
- Experience with statistical genetics and population genetics principles.
- Familiarity with human genetic variation databases and annotation tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex scientific information clearly.
- Proven ability to work independently and as part of a collaborative research team.
- Experience in supervising or mentoring junior researchers is highly desirable.
- Experience with specific disease areas (e.g., cancer, neurological disorders, cardiovascular disease) is a plus.
This advertiser has chosen not to accept applicants from your region.
1
Machine Learning Researcher in Bioinformatics (Research Fellow)
London, London
King's College London
Posted 1 day ago
Job Viewed
Job Description
About the Role
We are looking for an ambitious and talented postdoctoral researcher to join the Zelezniak Lab at King’s College London. Our lab sits at the forefront of synthetic biology and AI, creating next-generation tools for DNA, protein, and genome engineering. We aim to unravel the logic of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing on gene regulation and the engineering of microbial and human cells. You will work with cutting-edge AI approaches to design cellular phenotypes and optimise biochemical reactions. We welcome applicants from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning.nThe project offers a unique opportunity to collaborate closely with experimental scientists and contribute to translational advances in synthetic biology and AI.nThis is a full time role (35 hours per week), and you will be offered a fixed term contract until 1st September 2028 starting no sooner than 1st November 2025.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:nPhD in bioinformatics, computational biology, or a related disciplinenExtensive experience and expertise in applying/developing and training deep learning models on biological, chemical or related datasetsnProficiency in Python for data science and machine learningnPossess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models)nProved experience in working independently and as part of a multidisciplinary teamnEvidence of strong communication and scientific writing skillsnEvidence of publication track recordnExtensive experience and expertise in version control (e.g., Git) and reproducible research practicesnExperience working with generative models or large language modelsnExperience with large scale GPU-based model training and cloud computingnKnowledge of synthetic biology or regulatory sequence designnPrevious collaboration with experimental biologists or interdisciplinary teams
Compensation
This range is provided by King’s College London. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Seniority level
Associate
Employment type
Full-time
Job function
Research
Industries
Higher Education
#J-18808-Ljbffrn
We are looking for an ambitious and talented postdoctoral researcher to join the Zelezniak Lab at King’s College London. Our lab sits at the forefront of synthetic biology and AI, creating next-generation tools for DNA, protein, and genome engineering. We aim to unravel the logic of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing on gene regulation and the engineering of microbial and human cells. You will work with cutting-edge AI approaches to design cellular phenotypes and optimise biochemical reactions. We welcome applicants from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning.nThe project offers a unique opportunity to collaborate closely with experimental scientists and contribute to translational advances in synthetic biology and AI.nThis is a full time role (35 hours per week), and you will be offered a fixed term contract until 1st September 2028 starting no sooner than 1st November 2025.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:nPhD in bioinformatics, computational biology, or a related disciplinenExtensive experience and expertise in applying/developing and training deep learning models on biological, chemical or related datasetsnProficiency in Python for data science and machine learningnPossess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models)nProved experience in working independently and as part of a multidisciplinary teamnEvidence of strong communication and scientific writing skillsnEvidence of publication track recordnExtensive experience and expertise in version control (e.g., Git) and reproducible research practicesnExperience working with generative models or large language modelsnExperience with large scale GPU-based model training and cloud computingnKnowledge of synthetic biology or regulatory sequence designnPrevious collaboration with experimental biologists or interdisciplinary teams
Compensation
This range is provided by King’s College London. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Seniority level
Associate
Employment type
Full-time
Job function
Research
Industries
Higher Education
#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
2
Research Scientist, Factuality
London, London
Google
Posted 5 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.
3
AI Research Scientist Multimodal
London, London
Autodesk
Posted 1 day ago
Job Viewed
Job Description
**Job Requisition ID #**
25WD91668
**AI Research Scientist/Engineer (Multimodal)**
**Position Overview**
As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Research Manager in the AI Lab.
**Responsibilities**
· Develop new ML models and AI techniques
· Lead on research projects within a global team
· Review relevant AI/ML literature to identify emerging methods, technologies, and best practices.
· Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
· A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines
· Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions)
· Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
· Familiarity with PyTorch, PyTorch Lightning, or similar frameworks
· Strong coding abilities in Python
· Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms.
· Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs
· Publication track record in machine learning conferences and/or journals
**Preferred Qualifications**
· Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)
· Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding
· Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction doma
#LI-JK3
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
25WD91668
**AI Research Scientist/Engineer (Multimodal)**
**Position Overview**
As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Research Manager in the AI Lab.
**Responsibilities**
· Develop new ML models and AI techniques
· Lead on research projects within a global team
· Review relevant AI/ML literature to identify emerging methods, technologies, and best practices.
· Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
· A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines
· Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions)
· Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
· Familiarity with PyTorch, PyTorch Lightning, or similar frameworks
· Strong coding abilities in Python
· Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms.
· Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs
· Publication track record in machine learning conferences and/or journals
**Preferred Qualifications**
· Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)
· Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding
· Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction doma
#LI-JK3
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
This advertiser has chosen not to accept applicants from your region.
4
AI Research Scientist (AEC)
London, London
Autodesk
Posted 13 days ago
Job Viewed
Job Description
**Job Requisition ID #**
25WD85591
**Position Overview**
As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Manager of Research Science in the AI Lab.
**Responsibilities**
+ Develop new ML models and AI techniques
+ Lead on research projects within a global team
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
+ Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
+ A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
+ Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
+ Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
+ Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
+ Strong coding abilities in Python
**Preferred Qualifications**
+ Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings)
+ Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation)
+ LLMs and Natural Language Processing
+ Multi-modal deep learning and/or information retrieval
+ Publication track record in machine learning conferences and/or journals
+ Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)
#LI-JK3
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
25WD85591
**Position Overview**
As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Manager of Research Science in the AI Lab.
**Responsibilities**
+ Develop new ML models and AI techniques
+ Lead on research projects within a global team
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
+ Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
+ A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
+ Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
+ Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
+ Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
+ Strong coding abilities in Python
**Preferred Qualifications**
+ Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings)
+ Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation)
+ LLMs and Natural Language Processing
+ Multi-modal deep learning and/or information retrieval
+ Publication track record in machine learning conferences and/or journals
+ Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)
#LI-JK3
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
This advertiser has chosen not to accept applicants from your region.
5
Principal AI Research Scientist
SW1A 0AA London, London
£90000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist to join their pioneering, fully remote research division. This role offers an unparalleled opportunity to push the boundaries of artificial intelligence, contributing to groundbreaking research and the development of next-generation AI systems. You will work alongside a globally distributed team of leading researchers and engineers, tackling complex challenges in areas such as machine learning, deep learning, natural language processing, and computer vision. This is a fully remote position, empowering you to work from your preferred location within the UK.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead and conduct cutting-edge research in various domains of AI, including but not limited to machine learning, deep learning, reinforcement learning, NLP, and computer vision.
- Design, develop, and implement novel AI algorithms and models.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate closely with engineering teams to translate research prototypes into production-ready systems.
- Mentor junior researchers and contribute to the growth and development of the AI research community within the company.
- Stay abreast of the latest advancements in AI and related fields, identifying new research directions and opportunities.
- Develop and execute research roadmaps, setting ambitious goals and timelines.
- Present research findings to both technical and non-technical audiences.
- Contribute to the intellectual property portfolio through patents and publications.
- Proactively identify and solve complex technical problems, demonstrating exceptional problem-solving skills.
- Engage with the broader AI research community, attending conferences and contributing to open-source projects where appropriate.
Qualifications:
- Ph.D. or equivalent research experience in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of impactful research in AI, demonstrated through publications in top conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and/or impactful patents.
- Expertise in one or more core AI areas: deep learning, reinforcement learning, NLP, computer vision, generative models.
- Strong programming skills in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to lead research projects and mentor junior team members.
- Experience working effectively in a fully remote research setting.
This advertiser has chosen not to accept applicants from your region.
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6
Principal Research Scientist (Biotechnology)
SW1A 0AA London, London
£70000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client , a leading organisation in the field of scientific research and development, is seeking a highly accomplished Principal Research Scientist to spearhead critical projects within their biotechnology division. Based in London, England, UK , this senior role demands exceptional scientific acumen, a proven track record of innovation, and strong leadership capabilities. You will be instrumental in driving cutting-edge research, developing novel biotechnological solutions, and contributing to the advancement of scientific knowledge.
Key Responsibilities:
Qualifications and Experience:
Key Responsibilities:
- Lead and manage complex research projects from conceptualisation through to execution, ensuring scientific rigor and timely delivery of objectives.
- Design and conduct advanced experiments and assays, utilising state-of-the-art biotechnology techniques.
- Analyse and interpret complex datasets, drawing robust conclusions and identifying future research directions.
- Develop and validate new methodologies and protocols within the biotechnology domain.
- Supervise and mentor a team of research scientists, post-doctoral fellows, and technicians, fostering a collaborative and high-performance research environment.
- Author high-impact scientific publications, present findings at international conferences, and contribute to patent applications.
- Collaborate with internal teams and external partners, including academic institutions and industry leaders.
- Secure research funding through grant writing and proposal development.
- Ensure compliance with all relevant laboratory safety, ethical, and regulatory guidelines.
- Stay abreast of the latest scientific advancements and emerging trends in biotechnology.
- Contribute to strategic planning and decision-making for the research and development department.
- Manage research budgets and resources effectively.
Qualifications and Experience:
- PhD in Biotechnology, Molecular Biology, Biochemistry, or a closely related life science discipline.
- Extensive postdoctoral and industry research experience (typically 8+ years) with a substantial track record of leading successful research initiatives.
- Deep expertise in one or more areas of biotechnology, such as gene editing, protein engineering, bioinformatics, or drug discovery.
- Proven ability to design and execute complex experimental plans and analyse large datasets.
- Demonstrated experience in mentoring and leading research teams.
- Excellent publication record in reputable peer-reviewed journals.
- Strong grant writing and fundraising skills.
- Exceptional problem-solving, critical thinking, and analytical skills.
- Outstanding communication, presentation, and interpersonal skills.
- Experience working in a hybrid environment, with the ability to contribute effectively both on-site at our London facility and remotely.
- Familiarity with regulatory environments (e.g., FDA, EMA) is a plus.
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Remote Pharmaceutical Research Scientist
SW1A 0AA London, London
£60000 Annually
WhatJobs
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Job Description
Our client, a leading pharmaceutical company, is seeking a talented and dedicated Pharmaceutical Research Scientist to join their innovative drug discovery team. This is a fully remote position, enabling you to contribute to cutting-edge research from the comfort of your home. You will be responsible for designing and conducting experiments, analysing data, and contributing to the development of novel therapeutics. The ideal candidate will possess a strong background in pharmaceutical sciences, excellent experimental skills, and a passion for scientific advancement.
Responsibilities:
Responsibilities:
- Design, optimise, and execute complex in vitro and in vivo experimental assays to evaluate drug candidates.
- Analyse and interpret experimental data, applying statistical methods and drawing meaningful conclusions.
- Contribute to the development of new drug discovery strategies and research programs.
- Maintain detailed laboratory notebooks and records of experimental procedures and results.
- Prepare scientific reports, presentations, and publications for internal and external dissemination.
- Collaborate effectively with a multidisciplinary team of scientists, chemists, and biologists.
- Stay up-to-date with the latest scientific literature and technological advancements in pharmaceutical research.
- Troubleshoot experimental issues and develop alternative approaches when necessary.
- Contribute to intellectual property generation through the identification of novel drug targets and lead compounds.
- Ensure compliance with all relevant regulatory guidelines and safety protocols.
- Present research findings at internal meetings and potentially at scientific conferences.
- Assist in the management of research supplies and reagents.
- PhD or a Master's degree in Pharmacology, Pharmaceutical Sciences, Biology, Biochemistry, or a closely related field.
- Minimum of 5 years of post-doctoral or industry research experience in drug discovery or a related area.
- Proven expertise in a specific area of pharmaceutical research (e.g., oncology, immunology, neuroscience).
- Extensive experience with a range of experimental techniques relevant to drug discovery.
- Strong understanding of molecular and cellular biology, pharmacology, and pharmacokinetics.
- Demonstrated ability to design, execute, and interpret complex experiments.
- Excellent data analysis, statistical interpretation, and report-writing skills.
- Strong written and verbal communication skills, essential for remote collaboration.
- Ability to work independently with minimal supervision and as part of a collaborative research team.
- Proficiency in relevant scientific software and databases.
- A proactive and curious mindset with a genuine passion for scientific discovery and a commitment to producing high-quality research.
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8
Principal Research Scientist - Bioinformatics
SW1A 0AA London, London
£85000 Annually
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Job Description
Our client, a cutting-edge biotechnology firm at the forefront of scientific innovation, is actively seeking a Principal Research Scientist specializing in Bioinformatics. This position is entirely remote, offering an outstanding opportunity for top-tier bioinformatics talent to contribute to transformative research from anywhere in the UK.
As a Principal Research Scientist, you will lead the development and application of sophisticated bioinformatics pipelines and analytical strategies to interpret complex biological data. Your expertise will be instrumental in uncovering novel insights from genomics, transcriptomics, proteomics, and other high-throughput data sources. You will be responsible for designing computational experiments, developing custom algorithms and tools, and collaborating closely with experimental biologists and computational biologists to advance our understanding of disease mechanisms and identify potential therapeutic targets. This role requires a deep theoretical understanding of computational biology, advanced programming skills, and a proven ability to manage complex bioinformatics projects.
Key Responsibilities:
As a Principal Research Scientist, you will lead the development and application of sophisticated bioinformatics pipelines and analytical strategies to interpret complex biological data. Your expertise will be instrumental in uncovering novel insights from genomics, transcriptomics, proteomics, and other high-throughput data sources. You will be responsible for designing computational experiments, developing custom algorithms and tools, and collaborating closely with experimental biologists and computational biologists to advance our understanding of disease mechanisms and identify potential therapeutic targets. This role requires a deep theoretical understanding of computational biology, advanced programming skills, and a proven ability to manage complex bioinformatics projects.
Key Responsibilities:
- Lead the design, development, and implementation of cutting-edge bioinformatics analysis pipelines for large-scale omics data (genomics, transcriptomics, epigenomics, proteomics).
- Develop and apply novel computational algorithms, statistical methods, and machine learning approaches to biological data.
- Collaborate closely with cross-functional research teams to define research questions and design appropriate computational studies.
- Interpret complex biological datasets and provide actionable insights to guide experimental design and therapeutic development.
- Build and maintain robust, reproducible, and scalable bioinformatics workflows.
- Contribute to scientific publications, grant proposals, and presentations.
- Mentor and guide junior computational scientists and bioinformaticians.
- Evaluate and integrate new bioinformatics tools and technologies.
- Manage bioinformatics projects, ensuring timely delivery of high-quality results.
- Stay at the forefront of advancements in bioinformatics, computational biology, and relevant biological domains.
- PhD in Bioinformatics, Computer Science, Statistics, Computational Biology, or a related quantitative field.
- Minimum of 8 years of progressive experience in bioinformatics or computational biology, with a significant focus on leading complex projects.
- Expertise in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with workflow management systems (e.g., Snakemake, Nextflow).
- Strong experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Singularity).
- In-depth knowledge of statistical methods and machine learning algorithms relevant to biological data analysis.
- Experience analyzing various types of high-throughput sequencing data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Proven ability to manage complex bioinformatics projects and mentor junior team members.
- Excellent communication, collaboration, and problem-solving skills.
- Demonstrated track record of impactful contributions through publications and presentations.
- Experience working effectively in a fully remote, distributed research environment is essential.
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