Data Science Jobs

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Lead medicinal chemistry on drug discovery projects from initiation through to clinical candidate selection, working as a Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine the AI drug design platform, manage CRO resources and KPIs, and generate intellectual property. Some roles include line managing a team of 2-4 medicinal chemists.

AlphaFold

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Lead computational drug design programs from initiation through to clinical candidate selection, working alongside ML scientists to embed AI/ML into chemistry workflows. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Requires Python, cheminformatics and a track record of project leadership.

REINVENT · AlphaFold

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead computational chemistry strategy across drug discovery programs, applying AI-first methods to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models and ultra-large virtual screening into workflows, with optional line management of 2-3 computational chemists.

REINVENT · AlphaFold · Large Language Models +2

• London
• Hybrid · 3 days in office
• Senior

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You'll develop machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.

AlphaFold

• London
• Hybrid · 3 days in office
• Lead

Lead (pre)-formulation strategy for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to improve solubility, stability and manufacturability. Interpret stability studies using ICH and ASAP methods, author regulatory submissions, and work with drug design, preclinical and CMC teams while managing external CRO resources.

ICH · ASAP · FDA

• London
• Hybrid · 3 days in office
• Lead

Drive DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments with an AI-first approach. Integrate DMPK, PD and toxicology data to predict human dose and safety windows, and author regulatory documents. Work closely with Chemistry, Pharmacology and AI/ML platform teams in a hybrid London setting.

R · Python · KNIME

• London
• Hybrid · 3 days in office
• Senior

Lead pharmacology and translational biology strategy for large molecule therapeutics, designing in vivo and in vitro studies and acting as Biology Lead on drug discovery projects. Coordinate internal workflows and external CROs to drive candidates toward go/no-go decisions, while feeding pharmacology data back into generative AI design loops.

Generative AI · AlphaFold

• London
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setting.

Kubernetes · Google Cloud Platform · GCP

• London
• Hybrid · 3 days in office
• Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. The role spans the full ML lifecycle from experimentation and benchmarking to production integration, working closely with research scientists in a cross-disciplinary drug design team.

JAX · PyTorch · XLA +6

• London
• Hybrid · 3 days in office
• Mid-level · manages people

Conducts core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry use cases. Builds and scales training and inference frameworks, tunes experiments, and collaborates with interdisciplinary scientists. Senior candidates may lead standalone projects and mentor the ML community.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid · 3 days in office
• Senior · manages people

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists, engineers and domain experts, with scope to lead projects and mentor others depending on experience.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Architect next-generation inference services, solve core scaling limits, and set strategy and roadmaps while partnering with research, product and operations teams. Distinct for its focus on high-throughput GPU/TPU model serving within a biotech drug-discovery setting.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• London
• Hybrid · 3 days in office

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. Hybrid working requires three days a week in the London office.

AlphaFold