Valence Labs

Research Scientist, Next-Generation Structural Biology & Atomistic Modeling

Montréal, Quebec

Sponsorship not specifiedDetected 14 days ago

PythonMachine LearningDeep LearningResearchLeadershipCommunicationCollaboration

About the role

We are seeking a Research Scientist with a hybrid research-engineering mindset to join our team.

Scalable Engineering: Build and maintain ML systems capable of processing massive datasets, such as protein-ligand simulations, on high-performance compute clusters (BioHive).
Biological Grounding: Ensure ML predictions are biologically trustworthy and actionable by collaborating closely with drug discovery teams to reduce cycle periods and dead ends in lead optimization.
Build and maintain ML systems capable of processing massive datasets, such as protein-ligand simulations, on high-performance compute clusters (BioHive).
We lead high-impact research programs designed to materially expand Recursion's ability to discover and develop medicines for complex diseases.

Scientific knowledge of physics and chemistry, with a deep understanding of physical constraints and invariances in molecular systems.
Impactful research track record, including experience with equivariant models, generative modeling of molecular systems, or replacing traditional physics workflows (like ABFE) with ML-driven alternatives.
Strong technical and engineering skills, including proficiency in Python and the ability to build scalable, reproducible experiment pipelines.
Interdisciplinary empathy, with a proven ability to work effectively with medicinal chemists and biophysicists to ensure models solve real-world drug discovery problems.
Leadership and communication skills, including the ability to explain complex ideas clearly to both technical and non-technical stakeholders.
Compensation packages are competitive and commensurate with the skills and level of experience required for this role.
packages are competitive and commensurate with the skills and level of experience required for this role.

In addition to base salary you will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
Compensation packages are competitive and commensurate with the skills and level of experience required for this role.

Our work is driven by optimism, purpose, and a shared vision for a healthier tomorrow.
Our teams are based in London and Montreal, with deep ties to Mila, the world's largest deep-learning research institute.
Model Innovation: Research and develop state-of-the-art architectures (e.g., flow matching, diffusion models, geometric deep learning) tailored to modeling protein-ligand interactions.

This listing is sourced directly from Valence Labs's careers page and normalized into a canonical job model.