Research Investigator, Computational Chemistry
Behavioral Health Market Context
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Benefits
At Cogent Biosciences, we offer a competitive salary, bonus, and ongoing stock awards, alongside a benefits package that sets us apartWe cover 100% of medical, dental, and vision premiums for you and your family, and help reduce out-of-pocket costs by funding up to 75% of in-network deductiblesOur benefits also include a 401(k) match with immediate vesting, generous paid time off, 12 weeks of fully paid parental leave, paid family and medical leave for all employees regardless of location, and company-paid short-term disability coverage for up to 20 weeksAdditional perks like wellness programs, tuition reimbursement, and inclusive family-forming support help you thrive at work and beyond1 more items(s)
Qualifications
- •Ph.D. in Computational Chemistry or a related field, with 10 years of relevant industrial experience
- •Expertise in structure‑based design, docking, virtual screening, pharmacophore modeling, and other computational approaches for lead optimization
- •Strong hands‑on experience with cheminformatics platforms and tools, including Spotfire
- •Proficiency in Linux/UNIX, shell scripting, and HPC frameworks (e.g., SLURM, LSF, PBS/Torque)
- •Experience optimizing large computational workloads on cluster or cloud infrastructure
- •Familiarity with molecular representations and cheminformatics standards (SMILES, SDF, descriptors, fragment‑based encodings)
- •A solid publication record and excellent scientific communication skills
- •Proven effectiveness working within cross‑functional, data‑driven scientific teams
- •5 more items(s)
Responsibilities
- •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
- •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
- •Train and mentor colleagues on computational chemistry tools, cheminformatics standards, data formats, and key workflow practices
- •4 more items(s)
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