Science researcher in London

Prima Mente\’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact.
As a Machine Learning Researcher, you will help design, train, and evaluate foundation models that learn from large-scale biological data (genomics, epigenomics, single-cell, proteomics, clinical signals).
Modelling & algorithms – new architectures, training objectives, scaling strategies, multi-task / multi-modal learning.
Applied research – framing high-impact questions with clinicians and biologists, building end-to-end disease models, and stress-testing them on real data.
Analysis & insight – probing model internals, interpretability, mechanistic understanding, biomarker discovery.
Systems & efficiency – if you enjoy it, helping push training, data, and inference infrastructure to the next scale.
The role is deliberately broad: we\’re looking for exceptional ML talent with strong research instincts, not a single CV template.
Design and implement ML models for large-scale biological data, from pre-training to task-specific fine tuning.
~ Partner with biologists, clinicians, and data scientists to translate biological and clinical questions into tractable ML problems.
~ Run end-to-end experiments: dataset curation, training, evaluation, error analysis, and iteration.
~ Explore multi-modal and multi-task training across genomic, epigenomic, transcriptomic, proteomic and clinical signals.
~ Collaborate on papers, internal memos, and external communication of key research results.
~(Optional / plus) Contribute to scaling and optimisation of training and data pipelines, in close collaboration with research engineers.

You\’ve reproduced key baselines, run initial experiments on our internal datasets, and are comfortable with our training stack.
You\’ve shipped your first improvements (e.g. better objective, data pre-processing, or evaluation variant) and presented results to the team.
You own a research thread: a model family, disease application, or methodological idea.
You\’re independently designing experiments, refining hypotheses, and coordinating with relevant partners (ML, wet lab, clinical).
You\’ve delivered meaningful research impact: a stronger model, a new capability, a better biomarker, or evidence that changes our direction.
You are a go-to person for your area, helping others design experiments, debug models, and evaluate results.
We run the full stack from data generation to models to clinical studies, giving you an unusually tight feedback loop.
You\’ll work with a small, high-calibre team across ML, biology, and clinical medicine.
Motivated by advancing human health through AI, especially in neuroscience and complex disease.
Deeply curious, with a habit of reading papers, prototyping ideas, and stress-testing your own assumptions.
Comfortable doing real engineering work in service of research – but see yourself first and foremost as a researcher.
Strong background in machine learning or a closely-related field (e.g. deep learning, statistics, optimisation).
Industry, academic, or hybrid paths are all welcome.
Demonstrated experience training and evaluating modern ML models (e.g. transformers, diffusion, graph models, sequence models).
Solid software skills in Python and at least one major ML framework (PyTorch, JAX, or TensorFlow).
Experience designing and running non-trivial experiments: controlling for confounders, building robust baselines, and doing thorough error analysis.
Ability to write clearly – whether in code comments, research docs, or papers.
Experience with large-scale data (e.g. 100B+ tokens or equivalent) or distributed training.
Background in computational biology, genomics, epigenomics, neuroscience, or related areas.
Work on foundation models (language, vision, or multi-modal) and interest in applying that to biology.
If you\’re unsure whether you \”count\” as an engineer or a researcher: please apply. We support visa applications.
Exceptional performance at exceptional pace
The solutions we build demand uncompromising quality and rigour.