Think Bioscience is looking to solve the problem of developing small-molecule drugs for historically challenging targets by leveraging expertise in synthetic biology, protein biophysics, applied enzymology, computational chemistry, and medicinal chemistry.
Requirements
- Expertise in molecular modeling, docking, FEP, QSAR/ML methods, and MD, including standard software packages (e.g., Schrodinger, OpenEye, MOE, Rosetta).
- Skilled in scientific programming (e.g., Python, Pipeline Pilot), Linux, and data analytics (e.g., Spotfire).
- Familiarity with organic and synthetic chemistry concepts.
Responsibilities
- Leverage diverse computational strategies to inform and prioritize small molecule designs to improve potency, selectivity, and ADME/Tox endpoints.
- Build and implement computational workflows for virtual screening, docking, free energy calculations, QSAR, molecular dynamics, and AI/ML-enabled design.
- Partner with medicinal chemistry, biophysics, and biology teams to guide SAR exploration, prioritize compounds, and interpret data.
- Manage internal and external computational resources. Identify and implement modeling capabilities via vendor, CRO, and consultant partnerships.
- Work on teams with diverse scientific backgrounds and foster a collaborative culture to conduct world-class science.
Other
- Ph.D. in computational chemistry, medicinal chemistry, structural biology, or related discipline, with 10+ years of experience in small-molecule drug discovery in biotech or pharma.
- Leadership experience (mentoring, building teams, and managing collaborations) and strong collaboration skills (verbal and written communication, organization, teamwork, and creativity).
- Adaptability and flexibility to work in a dynamic startup environment.
