Pharmaceutical R&D Domain Expert

Mercor; United States; Hybrid; USD 150,000 - 230,000; Full time

Job summary

Cincinnatus LLC is seeking a senior pharmaceutical R&D domain expert to collaborate with an AI lab's research and program management teams. You will improve how frontier AI models reason about real pharmaceutical research and development work, reviewing pharmaceutical knowledge tasks and creating golden solutions.

This is a full-time W-2 role based in the Bay Area, CA, hybrid/on-site with multiple days on-site as required.

Qualifications

• Education: PhD or PharmD in a pharmaceutically relevant discipline (e.g., medicinal chemistry, pharmacology, translational sciences).
• Experience: 4+ years of substantive pharmaceutical/biotech R&D experience in industry or translational settings.
• Domain depth: specialization in at least one stage of the pipeline (e.g., target ID, medicinal chemistry, preclinical pharmacology, regulatory).
• Seniority: progression to senior level with ownership of a discovery or development program.
• AI fluency: hands-on use of LLMs in professional work and good judgment between solid and plausible wrong answers.
• Availability: able to commit to 40 hours/week for 6 months.
• Location: Bay Area, CA, on-site with relocation willingness (relocation assistance not provided).
• Written communication: precise, well-structured feedback.

Responsibilities

• Data QA and reviews of pharmaceutical knowledge tasks and model outputs.
• Write instruction specs and golden datasets to define correct outputs.
• Design benchmarking tasks and domain-specific evaluation sets.
• Coordinate with researchers to calibrate standards and translate tacit judgment into explicit criteria.

Education

PhD or PharmD in pharmaceutically relevant discipline

Job description

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.

1. Overview

We are hiring a senior pharmaceutical R&D domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real pharmaceutical research and development work.

Your drug development expertise is the substance of this role. You will review the quality of pharmaceutical knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

2. Key Responsibilities

• Data QA and reviews: Vet the quality of pharmaceutical knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, unsupported efficacy or safety claims, and answers that read well but would not survive scientific or regulatory scrutiny.
• Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to drug discovery and development problems, and define new tasks that reflect how the work is actually done in industry.
• Benchmarks and domain depth: Design challenging pharmaceutical tasks and evaluation sets, and help build domain-specific skills and tools together with the research team.
• Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit development judgment into explicit, teachable criteria.

3. Core Qualifications

• Education: PhD or PharmD in a pharmaceutically relevant discipline, for example medicinal or organic chemistry, pharmacology, molecular biology, pharmaceutical sciences, or toxicology. An MD with substantive drug development experience also qualifies.
• Experience: 4+ years of substantive pharmaceutical or biotechnology research and development experience, at a pharmaceutical company, a biotechnology company, a contract research organization, or a translational research institute. Purely academic research with no drug development exposure is a weaker fit.
• Domain depth: Genuine specialization in at least one stage of the pipeline, for example target identification and validation, medicinal chemistry and lead optimization, preclinical pharmacology and toxicology, translational and biomarker science, clinical development, or regulatory affairs and CMC.
• Seniority: Clear progression to a senior level, for example Senior Scientist, Principal Scientist, Director of Research, or a VP level R&D role, with real ownership of a discovery project or development program.
• Research record: Peer-reviewed publications, granted patents, or contributions to programs that reached the clinic. Strongly preferred.
• AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
• Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
• Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
• Excellent written communication, and the ability to give precise, well-structured written feedback.

About Cincinnatus LLC

Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.

Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC.

Equal Employment Opportunity

Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.