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Principal Scientist, Computational Chemistry
Cogent Biosciences
Boulder, USA
Full-time
Senior · 3+ years experience
Onsite
USD 165000-190000 yearly / year
Discovered 1 weeks ago
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Who We Are
Cogent Biosciences is a publicly traded biotechnology company focused on developing novel precision therapies to treat a broad range of patients with unmet medical needs. Cogent’s lead program, bezuclastinib, is designed to selectively and potently inhibit exon 17 mutations found within the KIT receptor tyrosine kinase, including KIT D816V. KIT D816V is responsible for driving a rare and serious condition called Systemic Mastocytosis, and exon 17 mutations are also found in patients with gastrointestinal stromal tumors (GIST), a type of cancer with strong dependence on oncogenic KIT signaling. Bezuclastinib has exhibited promising initial data across all three trials: APEX in AdvSM, SUMMIT in NonAdvSM, and PEAK in GIST, including an encouraging safety profile across 600+ patients in single-agent and combination dosing.
The Role
We are seeking an Experienced Computational Chemist who thrives at the intersection of molecular modeling, data‑driven decision making, and innovative drug design. In this role, you will directly influence discovery programs by generating actionable structure‑based insights, developing predictive models, and partnering with multidisciplinary teams to guide molecular design from hits to optimized leads. This is a full-time, on-site position based at our R&D facility in Boulder, Colorado.
Responsibilities
- Apply structure‑based and ligand‑based drug design methods—including docking, protein modeling, and a range of computational techniques—to support projects from hit discovery through lead optimization.
- Collaborate with project team members, engaging them in iterative structure‑based drug design cycles to generate hypotheses, evaluate targets, triage hits, and guide SAR exploration.
- Present modeling insights clearly and effectively to cross‑functional project teams, ensuring data is interpreted in the right context.
- Develop, refine, and maintain robust computational workflows on HPC Linux environments, enabling scalable execution of large‑scale simulations.
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