About Us
We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI.
The Role
You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery.
What You’ll Do
- Review, evaluate, and work hands-on with computational drug-discovery platforms such as AlphaFold, Boltz, ESMFold, OpenFE, and related protein-structure prediction, molecular modeling, docking, and free-energy calculation tools.
- Apply computational medicinal chemistry expertise to small-molecule discovery workflows, including target-structure assessment, binding-pose evaluation, virtual screening, hit identification, and lead optimization.
- Assess the scientific accuracy, limitations, and practical utility of software outputs, identifying failure modes and recommending improvements.
- Provide expert feedback to AI researchers at leading laboratories, helping them build and evaluate AI models that accurately understand computational medicinal chemistry and small-molecule drug-discovery workflows.
What We’re Looking For
- PhD in Computational Chemistry, Medicinal Chemistry, Cheminformatics, Chemical Biology, Pharmaceutical Chemistry, Biophysics, or a closely related field.
- 3+ years of industry experience in computational medicinal chemistry, structure-based drug design, or small-molecule drug discovery within pharma or biotech.
- Hands-on experience with protein-structure prediction and molecular modeling tools such as AlphaFold, Boltz, ESMFold, OpenFE, or comparable platforms.
- Strong expertise in one or more of the following: molecular docking, binding-pose prediction, molecular dynamics, free-energy perturbation, virtual screening, protein–ligand interaction analysis, or computational lead optimization.
- Experience supporting small-molecule programs from hit identification through hit-to-lead or lead optimization is strongly preferred.
Offer Details
- Commitment: 15–30 hours/week (with overlap in PST)
- Compensation: Highly competitive, top 10% of industry rates
- Engagement: Contractor/freelancer (no medical or paid leave)
- Duration: 1 month, with possible extension
- Remote: Fully remote, collaborative environment
Pay: $80.00 - $150.00 per hour
Work Location: Remote
