Artificial Intelligence (AI), Assays, Benchmarking, Biochemistry, Biology, Data Quality, Drug Discovery, High-Throughput Screening (HTS), Integrated Circuits (ICs), Molecular Biology, Patents, Pharmacology Research, Research Laboratory, Scientific Research, Taxonomies, Time Management
LOCATION
New York, New York
POSTED
30+ days ago
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Access primary sources such as papers and patents to verify protein target assignments against UniProt records.
Flag and classify target assignment errors using a structured taxonomy to ensure data accuracy.
Propose correct UniProt accessions where assignments are incorrect to enhance database reliability.
Write concise, evidence-grounded notes explaining your reasoning to support AI drug discovery pipelines.
Work independently and asynchronously to meet deadlines and improve data integrity.
Qualifications
Must-Have
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.