This position offers a unique opportunity to contribute to AI-driven drug discovery by verifying protein target assignments within extensive bioactivity databases such as ChEMBL and BindingDB. You will engage with primary literature, apply your scientific expertise, and ensure that UniProt IDs accurately represent the proteins under study, directly impacting the efficiency of AI drug discovery pipelines.

• Access primary sources, including papers and patents, to verify protein target assignments against UniProt records.
• Flag and classify target assignment errors using a structured taxonomy.
• Propose correct UniProt accessions where assignments are incorrect.
• Write concise, evidence-based notes to explain your reasoning.

• BA/BS with 5+ years, MS with 2+ years, or PhD with industry or drug discovery research experience in pharmacology, biochemistry, molecular biology, or chemical biology at a biotech, pharma, or CRO.
• Hands-on experience with binding or functional assays (e.g., SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD).
• Currently active in a research, scientist, or associate scientist role.
• Working fluency with UniProt or related workflows, including SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies.

• Direct experience with ChEMBL, BindingDB, or PubChem.
• Experience in selectivity profiling or counterscreening.
• Familiarity with agonist/antagonist versus activator/inhibitor distinctions.

• 10, 20 hours per week.
• Remote work with an immediate start.
• Minimum commitment of 1, 2 months, with the possibility of extension.
• U.S. applicants only.

Hourly rate of $50 - $70.