Overview

Company
Mercor
Location
Remote
Employment type
CONTRACTOR
Mercor

AI & Data • Remote

Biology Research Scientist (BA, MS, PhD's)

RemoteCONTRACTORPosted 5 months ago
Remote

About the 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 will 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

What You'll Do

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 will 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.