Part-Time AI-Driven Drug Discovery Specialist

Mercor; Greater London; On-site; GBP 55,000 - 110,000; Part time

Job summary

Cincinnatus LLC seeks a Drug Discovery SME to help build advanced AI models for pharmacology tasks in a part-time arrangement. You will contribute hands-on expertise in mechanism of action, ADME/Tox, PK/PD and data interpretation to guide model development.

Work with research and engineering teams to design evaluation tasks, critique outputs, and ensure data quality and scientific validity of AI-driven conclusions.

Qualifications

• PhD in pharmacology, pharmaceutical sciences, toxicology, DMPK, biochemistry or a closely related discipline, or equivalent research experience.
• 3+ years of experience in early-to-mid stage drug discovery or related fields.
• Hands-on experience analyzing in vitro ADME and safety assays, PK/PD studies, or related data.
• Comfortable using PK/PD or data analysis software and scientific AI tools (no coding required).
• Ability to engage reliably for at least 20 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.
• Nice to have: experience with PK/PD or ADME modeling, grading rubrics, or evaluating scientific AI models.

Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in mechanism of action, target and cellular pharmacology, ADME/Tox, and PK/PD.
• Design challenging, non-searchable drug discovery tasks, benchmarks and training data, and write accurate, well-structured solutions to problems such as interpreting assay readouts, identifying compound liabilities and planning optimization strategy.
• Evaluate AI model outputs and step-by-step reasoning on drug discovery tasks, diagnosing errors in scientific logic, tool usage and factual accuracy, and provide clear, written technical feedback.
• Develop specifications, grading rubrics and verification processes for drug discovery data produced by external technical teams, and act as the domain authority on data quality.
• Advise on assay design and quality control, experimental failure modes, and the biological and pharmacological validity of model outputs.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Skills

Data analysis

Scientific communication

Part-time availability

Education

PhD in pharmacology or related discipline

Tools

Scientific AI tools

Job description

Cincinnatus LLC seeks a Drug Discovery SME to help build advanced AI models for pharmacology tasks in a part-time arrangement. You will contribute hands-on expertise in mechanism of action, ADME/Tox, PK/PD and data interpretation to guide model development.

Work with research and engineering teams to design evaluation tasks, critique outputs, and ensure data quality and scientific validity of AI-driven conclusions.