Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Research Scientist (Machine Learning, Cell and Tissue Biology), London

myGwork - LGBTQ+ Business Community
London
2 months ago
Applications closed

Related Jobs

View all jobs

Research Scientist in Marine Ecology and Machine Learning

Research Data Scientist

Staff Data Scientist - Quant Research

Research Associate - Environmental Data Scientist Modelling

Data Scientist

Data Scientist

Research Scientist (Machine Learning, Cell and Tissue Biology), London

6 days ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

This job is with Isomorphic Labs, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Research Scientist (Machine Learning, Cell and Tissue Biology), London

We are here to advance human health, by reimagining drug discovery with the power and pace of artificial intelligence.

The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured by better and faster drug discovery.

Our values exist in service of that future. We think they’ll help us bring it closer, too.

Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.

The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.

About Iso

Isomorphic Labs (IsoLabs) was founded in 2021 and is led by Sir Demis Hassabis. Our aim is to usher in a new era of biomedical breakthroughs and find cures for some of humanity’s devastating diseases.

Our foundations are built on the success of Google DeepMind’s AlphaFold, but we didn’t stop there! We are continuing to develop and implement state-of-the-art technologies as we move towards our goal of dramatically accelerating and improving the process of designing and bringing new medicines to patients.

We have built a world-leading drug design engine comprising foundational AI models that are capable of working across multiple therapeutic areas and drug modalities. The company is continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

Your impact

This is an exciting opportunity for you to contribute to an ambitious Cell and Tissue Biology research program within the Computational Biology team, working in partnership with leading Machine Learning (ML) researchers, Chemists and Biologists.

Building on the successful models in place to predict protein structure (AlphaFold-3), there is an unique opportunity for Research Scientists to have a direct impact on drug discovery using innovative ML approaches for modeling cells and tissues in health and disease. These are newly created roles; driven by a passion for problem solving, you will need to use your previous experience and show initiative in order to fully carve out your contribution.

What You Will Do

  • Make original research contributions to enable machine learning model development, applied to cell and/or tissue biology, that impacts one or more critical problems in drug development.
  • Identify and create novel ML approaches, model architecture, and training strategies, along with the required data to train.
  • Analyse and tune experimental results to inform future experimental directions.
  • Work within cross-functional ML Research, Chemistry, Engineering and Biology Teams, to direct research hypotheses and deliver outstanding research.
  • Use your experience to undertake analysis of diverse computational biology datasets, including genetics, genomics, single-cell and bulk transcriptomics, proteomics, functional perturbation screens, imaging, knowledge graphs, PPI, clinical or other data types.
  • Work in partnership with other Research & Development teams to evaluate the utility of research models, and incorporate feedback to ensure research outputs deliver high impact for drug design and development.
  • Work with Bioinformatics, Data, and other groups to influence Iso’s datasets and pipelines strategy, to ensure innovative insights from these data are consistently brought to bear within drug development programmes.
  • Perform thorough data analysis and data quality assurance checks, with a strong focus on accuracy and reproducibility, inline with industry standard processes.
  • Work with other members of the Computational Biology team to deliver a unified team strategy.
  • Report and present research findings and developments clearly and efficiently, and provide documentation, guidance, and communication on computational biology to the wider organisation.

Essential

Skills and qualifications

  • Experience in computational biology specializing in cell and/or tissue biology, with PhD and research experience (i.e. postdoctoral or industry experience), or equivalent experience
  • Track record of delivery of outstanding research using deep learning techniques, including designing new ML architectures, hands-on experimentation, analysis, and visualisation
  • Strong knowledge of linear algebra, calculus, probability, and statistics
  • Demonstrated ability to write clean, idiomatic, and highly performant Python code
  • Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas
  • Expertise with detailed data quality control procedures and data visualisation
  • Experience with experimental design and statistical analysis
  • Demonstrated understanding of computational biology tools and methodologies and experience with the analysis of large -omics datasets
  • Familiarity with a variety of assaying techniques, including NGS, cell-based assays, functional genomics, single-cell techniques, and image-based assays and their respective data analysis approaches
  • Demonstrated understanding of the principles of molecular cell biology and genetics, or related biological disciplines
  • Familiarity with data processing pipelines and tools
  • Ability to effectively communicate scientific concepts to a variety of audiences
  • Experience in using Git for version control and familiarity with CI/CD concepts
  • Experience working in a Linux environment
  • Demonstrated ongoing career progression / trajectory and a passion for learning

Nice To Have

  • Experience in the context of therapeutic or diagnostic development programmes
  • Familiarity with structural biology and biochemistry
  • Experience working with complex data types, such as 3D epigenomics, long-reads, live imaging, and single-molecule localization microscopy
  • Familiarity with the current landscape of immuno-oncology research and therapeutic approaches
  • Experience working with clinical data
  • Experience in applying computational biology methods to the process of drug discovery, such as methods used for disease modelling and target discovery, combination strategies, as well as biomarker development
  • Experience applying computational biology workflows on Google Cloud Platform

Culture and values

We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.

Thoughtful

Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.

Brave

Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.

Determined

Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.

Together

Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.

Creating An Extraordinary Company

We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Hybrid working

It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, andwould require you to be able to come into the office 3 days a week(currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.

Please note that when you submit an application, your data will be processed in line with our privacy policy.

>> Click to view other open roles at Isomorphic LabsSeniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionOther
  • IndustriesBiotechnology

Referrals increase your chances of interviewing at myGwork - LGBTQ+ Business Community by 2x

Greater London, England, United Kingdom 1 week ago

Hampton, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 3 days ago

Hounslow, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 5 days ago

Research Assistant – Functional Genomics (12-Month Contract)

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

Research Assistant/Fellow in Genetic Therapies

London, England, United Kingdom 2 days ago

Laboratory Assistant (ID3801, ID3832, ID3858)

New Haw, England, United Kingdom 4 days ago

London, England, United Kingdom 2 days ago

Hampton, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.