Biology Expert

Biology Expert (Remote)

Talent Bridge is seeking PhD, MD, or PharmD-level consultants with deep expertise spanning preclinical drug development through early clinical stages. The ideal candidate has led or meaningfully contributed to programs navigating the complex path from target validation through first-in-human (FIH) studies, and can independently drive strategic decisions at key inflection points. As a consultant, you will support a range of high-impact AI-training deliverables—from preclinical study strategy and data interpretation to clinical program design and quantitative analysis.

Key Areas of Expertise

We are looking for depth in one or more of the following areas. Candidates with breadth across multiple domains are highly valued:

• Preclinical Study Design & Execution: Design and execute in vivo studies linking molecular mechanisms to disease phenotypes. Select appropriate preclinical systems with a clear rationale for human translatability. Develop biomarker strategies, evaluate tissue access delivery approaches, and troubleshoot inconclusive results.
• Preclinical Data Interpretation & Decision-Making: Build exposure-activity relationships from in vivo datasets. Evaluate site-of-action drug activity, update mechanistic hypotheses, assess early safety/immunogenicity risks, and support portfolio-level advance/terminate decisions.
• Early Clinical Program Design: Determine safe, pharmacologically relevant starting doses for human studies (including cross-species scaling). Design dose escalation schemes, power early-phase studies, define patient selection/enrichment strategies, select endpoints, and plan interim adaptive decision rules.
• Quantitative Pharmacology & Clinical Modeling: Conduct exposure-response analysis, population PK and PK/PD modeling. Provide model-based support for dose escalation decisions, longitudinal efficacy modeling, and sensitivity analyses addressing missing data or protocol deviations.
• Clinical Biostatistics: Plan statistical analyses across all endpoint types (binary, continuous, time-to-event). Handle multiplicity-adjusted hypothesis testing, subgroup heterogeneous treatment effect analyses, and adaptive interim monitoring design (including futility boundaries and alpha-spending functions).

Ideal Candidate Profile

• Education: PhD, MD, and/or PharmD in Pharmacology, Pharmaceutical Sciences, Biostatistics, Quantitative Biology, or a closely related field.
• Experience: 5+ years of industry experience in pharma, biotech, or CRO environments.
• Track Record: Direct experience supporting at least one program from late preclinical stages through IND (Investigational New Drug) submission or into early clinical development.
• Core Skills: Ability to independently evaluate complex data packages, deliver actionable recommendations, and communicate effectively to both technical and non-technical audiences.
• Geography: Must be currently based in the United States or the United Kingdom.

Contract and Payment Terms

• Status: You will be engaged as an Independent Contractor (1099 equivalent).
• Flexibility: This is a fully remote role that can be completed on your own schedule.
• Scope: Projects can be extended, shortened, or concluded early depending on project needs and performance.
• Privacy: Your work with us will not involve access to confidential or proprietary information from any past or present employer, client, or institution.
• Payments: Payments are disbursed weekly based on services rendered.

About Us & Equal Opportunity

Talent Bridge partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems, collaborate with leading researchers, and help shape the next generation of AI in the life sciences space. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Key skills/competency

• Preclinical Drug Development
• Early Clinical Development
• AI Training Data
• Study Design
• Data Interpretation
• Clinical Program Design
• Quantitative Pharmacology
• PK/PD Modeling
• Biostatistics
• Pharmacology