Machine Learning Researcher

Vice President - AI / ML at EPM Scientific

Machine Learning Researcher - Generative Modeling for Drug Discovery

A talent-dense AI4Biology team is applying frontier-scale AI to model biological systems and accelerate therapeutic development. They are building novel architectures and generative frameworks to reason about molecular behavior, predict drug toxicity and potency, and simulate complex biological interactions.

This role is suited for a thoughtful and curious scientist with deep engineering rigor, focused on designing and training models that understand and generate molecular structure, dynamics, and function. It's a zero-to-one opportunity to shape the technical foundation of a company working at the intersection of AI and human health.

Focus Areas

• Designing generative models (e.g. diffusion, flow matching, graph-based) for molecular structure and dynamics
• Building predictive systems for ADMET properties, drug-likeness, and off‑target effects
• Developing simulation-informed architectures that integrate molecular dynamics and physical priors
• Engineering scalable training pipelines across multi‑cloud and distributed infra
• Collaborating with domain experts in chemistry, biology, and pharmacology to ground models in real‑world constraints
• Prototyping and evaluating novel architectures for reasoning over multimodal biological data

Ideal Background

Bonus

Candidates from any biological or scientific background are encouraged to apply. No specific domain (e.g., ADMET, chemistry, etc.) is required. Intellectual honesty, engineering excellence, and scientific curiosity are valued above domain specialization.

Seniority level : Mid‑Senior level

Employment type : Full‑time

Job function : Research and Science

Industries : Pharmaceutical Manufacturing

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