Senior Scientist, Computational Chemistry, Montreal

Senior Scientist, Computational Chemistry

Location: United States or Canada (Remote / Hybrid)

Compensation: base + bonus + equity

Build first-in class therapies by unlocking undruggable biology

Congruence Therapeutics is a clinical-stage biotech redefining small molecule drug discovery through advanced computational approaches. Our proprietary platform, RevenirTM, captures protein conformational dynamics to identify novel allosteric and cryptic binding sites - enabling us to target diseases that have historically been out of reach.

We are advancing a pipeline across genetic diseases, including neurodegeneration and metabolic disorders, alongside partnerships with leading pharma companies.

The Opportunity

We're hiring a Senior Scientist, Computational Chemistry to play a key role in shaping both our drug discovery programs and computational platform.

You will:

• Own and drive computational strategy across programs
• Influence molecular design decisions at scale
• Work at the intersection of physics-based modeling and AI/ML
• Mentor scientists and help scale a high-performing team

This is a high-visibility role with direct impact on pipeline progression and platform evolution.

What You'll Do

• Lead computational chemistry efforts across discovery programs (target assessment → hit identification → optimization)
• Apply advanced methods including molecular dynamics, free energy calculations (FEP/TI), QSAR, and structure-based design
• Partner with medicinal chemistry and AI teams to prioritize compounds and guide synthesis
• Drive data-driven decision-making for potency, selectivity, and ADME/Tox optimization
• Introduce and scale new computational methodologies and cheminformatics tools
• Mentor team members and contribute to scientific leadership

What You Bring

• PhD in computational chemistry, biophysics, or related field
• ~10+ years of industry experience in small molecule drug discovery
• Proven impact on advancing discovery programs
• Expertise in:
• Structure-based drug design & protein–ligand interactions
• Molecular modeling (docking, FEP/TI, homology modeling)
• Cheminformatics tools (RDKit, Schrödinger, MOE, OpenEye)
• Experience with machine learning in molecular design (PyTorch, TensorFlow)
• Strong programming skills (Python/R) and workflow automation
• Experience working with cloud-based computational infrastructure
• Demonstrated leadership and mentoring ability

What Sets You Apart

• You think like a drug hunter—focused on delivering real therapies
• You're excited by novel computational approaches and platform building
• You thrive in cross-functional, fast-moving environments
• You bring ownership, scientific rigor, and curiosity

Why This Role Stands Out

• Direct influence on both pipeline and platform
• Exposure to multiple therapeutic areas and modalities
• Strong integration of AI/ML + physics-based methods
• Opportunity to build and scale capabilities, not just execute

Why Join Congruence

• Backed by top-tier investors; >$135M raised
• High-caliber, multidisciplinary team
• Competitive compensation + meaningful equity
• Flexible work environment
• Mission-driven: delivering therapies to underserved patients