Montreal, Quebec, Canada · Hybrid
About Valence Labs Valence Labs is Recursion’s frontier AI research engine. We lead high-impact research programs designed to materially expand Recursion’s ability to discover and develop medicines for complex diseases. …
Skills: Machine learning, Generative modeling, Representation learning, Python, Flow matching
Montreal, Quebec, Canada • Hybrid
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Develop generative and distributional models to predict high-dimensional cellular responses to chemical and genetic perturbations. Build and maintain scalable ML systems for processing massive multiomics datasets while ensuring model interpretability and scientific grounding.
Requires a PhD or equivalent research experience in machine learning applied to drug discovery or life sciences. Candidates must possess strong technical skills in generative modeling and the ability to work effectively in a cross-functional scientific environment.
Valence Labs is Recursion’s frontier AI research engine. We lead high-impact research programs designed to materially expand Recursion’s ability to discover and develop medicines for complex diseases.
Our team balances near-term pragmatism with a long-term view of where the field is heading in the next 3–5 years, incubating, designing, and productizing the approaches we believe will define the future of drug discovery. Our work is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, contribute to open science, and engage with some of the world’s most active ML-for-drug-discovery research communities. Our teams are based in London and Montreal, with deep ties to Mila, the world’s largest deep-learning research institute.
You will be joining a research program building multimodal foundation models to predict cellular responses to chemical and genetic perturbations across petabyte-scale omics and imaging data. The work spans generative and distributional modeling, representation learning for molecules and genes/proteins, and the design of biologically grounded evaluation frameworks. The goal is to close critical gaps in the pre-clinical pipeline, replacing or augmenting wet-lab perturbation screens with in silico predictions that are reliable enough to drive drug discovery decisions. We are seeking a Research Scientist with strong ML research and engineering skills, and genuine curiosity for biology, to join a multidisciplinary team of ML researchers, engineers, and computational biologists working toward a shared goal: building virtual cells that transform how medicines are discovered.
We prioritize scientific depth in both ML and biology, but will consider exceptional ML candidates willing to develop biological expertise on the job. A successful candidate will have most of the following:
This is an office-based, hybrid position at our office located in Montreal, Quebec, Canada. Employees are expected to work in the office at least 50% of the time.
Compensation 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.
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Decoding biology to radically improve lives. Powered by Recursion.
Valence Labs is Recursion’s AI research engine. Leveraging the full power of Recursion’s platform, data, and computing infrastructure, we develop new ways to predict, explain, and ultimately decode biology.
Offices: 6650 Rue St-Urbain, Suite 200, Montreal, Quebec H2S 3G9, CA · 101 Main Street, Cambridge, Massachusetts 02142, US
Decoding biology to radically improve lives. Powered by Recursion.
Valence Labs is Recursion’s AI research engine. Leveraging the full power of Recursion’s platform, data, and computing infrastructure, we develop new ways to predict, explain, and ultimately decode biology.
Offices: 6650 Rue St-Urbain, Suite 200, Montreal, Quebec H2S 3G9, CA · 101 Main Street, Cambridge, Massachusetts 02142, US
