Drug Discovery Specialist, Pharmacology & ADME/Tox

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

1. Overview

Join a leading AI lab's cutting-edge research team and help build foundational AI models for science from the ground up. We're seeking talented Drug Discovery subject-matter experts (SMEs), including pharmacologists, DMPK / ADME scientists and toxicologists from pharma, biotech, contract research or academic settings, to bring deep, hands-on discovery expertise to the design and evaluation of advanced AI models for drug discovery.

This is a part-time position through Cincinnatus LLC (or an appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

2. Key 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.

3. Core Qualifications

• PhD in pharmacology, pharmaceutical sciences, toxicology, DMPK, biochemistry or a closely