CADD Scientist / Senior CADD Scientist
Remote · San Francisco, California, United States or Boston, Massachusetts, United States
Job Summary
CADD Scientist to drive computer-aided drug design on Chemify's commercial programmes and computational platform. You will sit within a cross-disciplinary team of computational chemists, in-house and partner medicinal chemists, AI researchers, data engineers, and automation scientists, translating structure, simulation, and machine learning into molecules we actually make. You will design and prioritise molecules for synthesis and see them physically made on our robotic platform within days, contributing to the design–make–test loop. You will mentor junior CADD scientists, collaborate with the Head of Advanced Machine Learning on growth, and act as the scientific interface with customers. You should be energized by solving complex problems at the intersection of chemistry, physics, and AI, and by seeing your designs synthesized and tested rapidly.
Required Qualifications
- PhD (or equivalent experience) in Computational Chemistry, Structural Biology, Biophysics, Physics, or a closely related field
- 2+ years (CADD Scientist) or 5+ years (Senior) of hands-on CADD experience in small-molecule drug discovery
- Grounding in both structure- and ligand-based drug design — protein–ligand biophysics with pharmacophore, shape, and SAR-driven design
- Strong Python and at least one core cheminformatics toolkit (e.g. RDKit, OpenEye)
- Experience with GPU-accelerated simulation and cloud/HPC workflows
- Experience with modern deep learning for molecular design (GNNs, generative models, property prediction)
- Track record of owning the computational strategy on active programmes (Senior) and technical leadership
- Hands-on experience with CADD tooling into API-first platforms (FastAPI, Docker) and proficiency in C/C++ / CUDA
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