Pharmacology AI Researcher (Part-Time)

Mercor

New York (NY)

Remote

USD 83,000 - 124,000

Part time

4 days ago
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Job summary

Cincinnatus LLC is placing highly skilled pharmacology SMEs at a leading AI lab to help shape foundational drug discovery models. The role focuses on pharmacology, DMPK/ADME, and toxicology with a strong emphasis on data quality and clinical relevance.

The position is part-time (20 hours/week) through an international entity, offering placement at a premier AI lab to bridge bench science and cutting-edge AI research. This role blends scientific rigor with AI-driven discovery.

Qualifications

  • PhD in pharmacology or related field.
  • 3+ years in early-to-mid stage drug discovery.
  • Hands-on analysis of in vitro ADME and PK/PD data.
  • Experience with PK/PD modeling or AI tools is a plus.
  • Willingness to commit at least 20 hours/week.
  • Strong written communication skills.

Responsibilities

  • Guide research and engineering teams to improve AI model performance in pharmacology, ADME/Tox, and PK/PD.
  • Design benchmarks and training data; write accurate, structured solutions.
  • Evaluate AI outputs and provide clear technical feedback on logic and accuracy.
  • Develop specs, rubrics and verification for data produced by external teams.
  • Advise on assay design and model validity.
  • Collaborate with SMEs to ensure data consistency.

Skills

Pharmacology
Data analysis
AI tools
Scientific communication
Part-time availability

Education

PhD in pharmacology
3+ years drug discovery

Tools

PK/PD software
Data analysis tools

Job description

Cincinnatus LLC is placing highly skilled pharmacology SMEs at a leading AI lab to help shape foundational drug discovery models. The role focuses on pharmacology, DMPK/ADME, and toxicology with a strong emphasis on data quality and clinical relevance.

The position is part-time (20 hours/week) through an international entity, offering placement at a premier AI lab to bridge bench science and cutting-edge AI research. This role blends scientific rigor with AI-driven discovery.

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