About the Role
Mercor is partnering with a leading AI research organization to verify protein target assignments in large-scale bioactivity databases (ChEMBL, BindingDB). You'll read primary literature, apply scientific judgment, and determine whether UniProt IDs accurately reflect the proteins being studied — work that directly feeds AI drug discovery pipelines.
What You'll Do
Access primary sources (papers, 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 wrong
Write concise, evidence-grounded notes explaining your reasoning
Requirements
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 binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD)
Currently bench-active in a research, scientist, or associate scientist role
Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies
Nice to Have
Direct experience with ChEMBL, BindingDB, or PubChem
Selectivity profiling or counterscreening experience
Familiarity with agonist/antagonist vs. activator/inhibitor distinctions
Role Details
10–20 hrs/week | Remote | Immediate start
1–2 month minimum, extension likely
U.S. only
New