Biology Research Scientist for AI Drug Discovery

Verify protein target assignments in large-scale bioactivity databases, including ChEMBL and BindingDB, by evaluating primary scientific evidence and determining whether UniProt IDs accurately represent the proteins studied. Your assessments will support AI-driven drug discovery work.

• Review primary sources, including scientific papers and patents, to validate protein target assignments against UniProt records.
• Identify and classify target-assignment errors using a structured taxonomy.
• Recommend the correct UniProt accession when an assignment is inaccurate.
• Document conclusions in concise, evidence-based notes.

• BA/BS with 5+ years of experience, MS with 2+ years of experience, or a PhD with industry or drug discovery research experience.
• Background in pharmacology, biochemistry, molecular biology, or chemical biology within biotech, pharmaceutical, or CRO settings.
• Hands-on binding or functional assay experience, such as SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, or IC50, Ki, and KD analysis.
• Currently active at the bench in a research scientist, scientist, or associate scientist role.
• Working fluency with UniProt or related workflows, including SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies.

• Experience with ChEMBL, BindingDB, or PubChem.
• Selectivity profiling or counterscreening experience.
• Familiarity with agonist and antagonist distinctions, as well as activator and inhibitor distinctions.

• Remote, hourly engagement with an immediate start.
• Commitment of 10 to 20 hours per week.
• Minimum engagement of 1 to 2 months.

$50 to $70 per hour.

Open to applicants located in the United States only.