Remote Biology Research Scientist: Target Validation Expert

YO AI Labs; San Jose (CA); À distance; USD 83 000 - 124 000; Temps partiel

Résumé du poste

YO AI Labs seeks experienced Biology Research Scientists to support a project validating protein target assignments against primary sources and UniProt records. You will review papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based reasoning.

Responsibilities include reviewing primary literature, comparing against UniProt, classifying errors, proposing UniProt accessions where needed, and documenting rationale.

Qualifications

• Experience verifying protein target assignments against primary literature and UniProt records.
• Ability to classify errors in target assignments using a structured taxonomy.
• Ability to propose accurate UniProt accessions where needed.
• Experience interpreting IC50, Ki, and Kd data.
• Hands-on bench-based research in pharmacology/biochemistry/molecular biology.
• Familiarity with workflows like SAR, HTS, target validation, or IND-enabling studies.

Responsabilités

• Review primary research papers and patents to verify protein target assignments.
• Compare target assignments against UniProt and identify discrepancies.
• Classify target assignment errors using a structured taxonomy.
• Propose UniProt accessions where assignments are incorrect.
• Document clear, concise, evidence-grounded reasoning for each determination.
• Apply pharmacology, biochemistry, molecular biology, or chemical biology expertise to evaluate target relationships.

Connaissances

Protein Target Identification

UniProt

Primary Literature Review

Protein Biochemistry

Molecular Biology

Pharmacology

Binding & Functional Assays

Scientific Data Interpretation

Evidence-Based Reasoning

Technical Documentation

Formation

BA/BS + 5 years

MS + 2 years

PhD with relevant industry experience

Outils

SPR

TR-FRET

Radioligand Binding

Kinase Assays

GPCR Functional Assays

ChEMBL

BindingDB

PubChem

Description du poste

YO AI Labs seeks experienced Biology Research Scientists to support a project validating protein target assignments against primary sources and UniProt records. You will review papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based reasoning.

Responsibilities include reviewing primary literature, comparing against UniProt, classifying errors, proposing UniProt accessions where needed, and documenting rationale.