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Biology Research Scientist (BA, MS, PhD's) (Train AI Models Part Time!
MercorIndiaIndiaPosted 17 Jul 2026
Quick Overview
Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior
Job Description
hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.
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
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
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