Senior Epidemiologist | Upto $93/hr Part-time

Mercor is seeking a Senior Epidemiologist to work remotely on a part‑time basis, supporting AI research labs with public health expertise. This contract role offers approximately 20 hours per week.

Key Responsibilities

• Design, author, and review technical tasks that assess AI model performance on public health datasets.
• Develop evaluation frameworks and metrics to ensure AI outputs are safe, accurate, and ethically aligned.
• Collaborate with data scientists, engineers, and domain experts to interpret results and recommend improvements.
• Prepare clear documentation and reports for internal stakeholders and external partners.
• Stay current with emerging epidemiological methods and AI governance standards.

Required Qualifications

• Advanced degree (PhD or Master’s) in Epidemiology, Public Health, Biostatistics, or a related field.
• Minimum 5 years of professional experience in epidemiological research or public‑health analytics.
• Strong understanding of AI/ML concepts and experience evaluating model outputs in health contexts.
• Proficiency with statistical software (R, SAS, Stata) and data manipulation tools (Python, SQL).
• Excellent written and verbal communication skills, with the ability to translate technical findings for non‑technical audiences.

Preferred Skills

• Experience working with AI research labs or tech startups.
• Familiarity with regulatory guidelines for health data and AI ethics.
• Background in infectious disease modeling or population health surveillance.

Why Join Mercur

Mercor connects elite creative and technical talent with leading AI research labs. Backed by top investors such as Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey, the company offers a dynamic environment where your public‑health expertise can shape the future of responsible AI.

Frequently Asked Questions

Is this position fully remote?

Yes, the Senior Epidemiologist role is remote, allowing you to work from anywhere, including Toronto.

What is the expected weekly time commitment?

The contract requires approximately 20 hours per week.

What background is needed to evaluate AI model performance on public health data?

A strong epidemiology or public‑health background, combined with knowledge of AI/ML concepts and statistical analysis tools, is essential.