Research Scientist (Applied Large Language Models)
Location: London, United Kingdom.
About Isomorphic Labs (IsoLabs)
Isomorphic Labs is a leading AI‑driven drug discovery company that builds on the Nobel‑winning AlphaFold system to accelerate scientific discovery and develop life‑changing medicines. Founded in 2021, the team combines drug discovery expertise with machine learning specialists to create predictive and generative AI models for multiple therapeutic areas.
Role Overview
As a Research Scientist focused on Large Language Models (LLMs), you will partner with research scientists and engineers to design, develop and deploy state‑of‑the‑art LLM applications that transform drug discovery. You will lead machine‑learning based research projects, mentor peers, and drive the adoption of LLMs across our platform.
Responsibilities
- Contribute to core research in machine learning by pushing the boundaries of LLMs for drug discovery.
- Develop and refine LLM‑driven approaches for multiple use‑cases, modifying and applying models to complex biological and medical challenges.
- Identify and create novel ML techniques and data pipelines required to train and apply LLMs.
- Analyze and tune experimental results to inform future directions.
- Implement and scale training and inference engineering frameworks.
- Report and present research findings clearly to interdisciplinary teams.
- Collaborate with scientists and domain experts, sharing domain experience.
- Engage in team collaborations to meet ambitious research goals.
Leadership & Mentorship (depending on experience)
- Provide technical mentorship and guidance to the ML research community.
- Support development of other ML research scientists.
- Lead and run ML research projects, fostering inclusive and diverse teams.
Essential Skills and Qualifications
- PhD or equivalent practical experience in a technical field.
- Specialized experience building LLMs, with deep knowledge of model architectures, training methods and deployment.
- Strong understanding of linear algebra, calculus and statistics.
- Experience with ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software like NumPy, SciPy or Pandas.
- Project supervision, leadership or management experience as appropriate.
- Knowledge of the current LLM landscape and near‑future developments.
- Experience working with real‑world datasets.
Nice to Have
- PhD in machine learning or computer science.
- A proven track record of publications or contributions to ML codebases.
- Background in biology or medicine to bridge AI and scientific problems.
- Experience in computational chemistry, bioinformatics, or related fields.
- Experience with multi‑parameter optimization.
- Experience in large‑scale deep learning, generative models, graph neural networks, or related areas.
Culture and Values
Susceptible, brave, determined, and together – our shared values guide our work. We foster curiosity, creativity, care, fearlessness, integrity, urgency, agility, and collaboration.
Benefits & Working Arrangement
Hybrid work model: you are required to work from the London office three days a week (Tuesday, Wednesday, and another day). Additional needs can be discussed if you are selected for an initial screening call.
Equal Employment Opportunity
We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital or domestic 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 let us know.
Application Note
When you submit an application, your data will be processed in line with our privacy policy.
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