Biology Specialist | $100/hr | Remote

About the role

We are seeking experienced pharmacology, biochemistry, molecular biology, chemical biology, and drug discovery professionals to verify protein target assignments in large-scale bioactivity databases used in AI-driven drug discovery. You will review scientific literature, compare reported targets against UniProt records, identify incorrect protein assignments, and document evidence-based corrections.

Responsibilities

• Review primary scientific literature, papers, and patents
• Verify protein target assignments against UniProt records
• Evaluate whether reported targets accurately match the proteins studied
• Identify and classify incorrect or ambiguous target assignments
• Propose corrected UniProt accessions when appropriate
• Review experimental assay context before making target decisions
• Distinguish target, isoform, species, construct, family, and mechanism-level differences
• Write concise scientific notes explaining conclusions and supporting evidence
• Contribute expert judgments that improve bioactivity datasets used for AI drug discovery

Requirements

• BA/BS with 5+ years of relevant professional experience, or
• MS with 2+ years of relevant professional experience, or
• PhD with industry or drug discovery research experience

Relevant degrees may include: Pharmacology, Biochemistry, Molecular Biology, Chemical Biology, Biotechnology, Biomedical Sciences, Medicinal Chemistry, Pharmaceutical Sciences, Cell Biology, or related life sciences.

Qualifications

Relevant backgrounds include:

• Pharmacologists, Biochemists, Molecular Biologists, Chemical Biologists, Drug Discovery Scientists, Research Scientists, Associate Scientists, Senior Scientists, Principal Scientists, Laboratory Scientists, Translational Scientists
• Assay Development Scientists, Bioassay Scientists, Biochemical Assay Scientists, Cell-Based Assay Scientists, Pharmacology Scientists, Molecular Pharmacologists, Cellular Pharmacologists, In Vitro Pharmacologists, Experimental Pharmacologists, Screening Scientists
• Drug discovery backgrounds may include: Medicinal Chemistry Scientists with strong biology experience, Discovery Biology Scientists, Target Validation Scientists, Target Identification Scientists, Lead Discovery Scientists, Lead Optimization Scientists, Early Drug Discovery Scientists, Preclinical Scientists, Translational Biology Scientists, Mechanism-of-Action Scientists

Candidates should be comfortable interpreting: IC50, EC50, Ki, Kd, potency, affinity, efficacy, agonism, antagonism, activation, inhibition, selectivity, and dose-response relationships.

Skills

Experience with one or more of the following is valuable:

• UniProt, ChEMBL, BindingDB, PubChem, PDB, NCBI, GeneCards, Ensembl, UniProtKB, DrugBank, SciFinder, Reaxys, PubMed, Google Scholar, and similar scientific databases

Preferred background:

• Direct experience with ChEMBL, BindingDB, or PubChem
• Experience supporting SAR or medicinal chemistry programs
• Selectivity profiling or counterscreening experience
• Experience with target validation and biochemical profiling
• Understanding of protein isoforms, species differences, constructs, complexes, and target families
• Ability to distinguish agonist vs. antagonist and activator vs. inhibitor relationships
• Experience reviewing patents or extracting experimental data from scientific publications
• Drug discovery experience within biotech, pharma, CRO, or translational research environments