Part-Time AI Research Scientific Advisor

Qualifications

• 5+ years of experience with Applied AI in the Health domain
• Experience in the automation of research, ideally with the incorporation of AI to prioritize or otherwise direct research
• Experience performing with distributed laboratories
• Familiarity with languages for specifying experiments
• Demonstrated expertise in the development of software for the biological sciences
• Ability to operate independently within a fast-paced start-up environment
• D. or equivalent in the biological or physical sciences

Responsibilities

• Work remotely (EST hours) with minimal travel to Washington, DC area (travel expenses reimbursable)
• Review and evaluate technical proposals and deliverables from external teams
• Provide guidance on model development, training methods, and validation strategies to identify risks, gaps, or weaknesses and recommend corrective actions
• Aid in the development of new programs that leverage AI and the automation of experimentation to expedite gold standard research
• Help in the evaluation of proposals that include AI for Science
• Assist in the daily management and tracking of funded efforts
• Evaluate benchmarking results and provide feedback on methodological soundness
• Advise on deployment considerations, including interpretability, reliability, and safety in real-world settings
• Produce high-quality written reports and presentations that synthesize complex technical findings for diverse audiences

Full Description

This position is part-time (20 hours per week)

Work remotely (EST hours) with minimal travel to Washington, DC area (travel expenses reimbursable)

Must have PhD

Must have AI experience

Roles and Responsibilities:

Review and evaluate technical proposals and deliverables from external teams.

Provide guidance on model development, training methods, and validation strategies to identify risks, gaps, or weaknesses and recommend corrective actions.

Aid in the development of new programs that leverage AI and the automation of experimentation to expedite gold standard research.

Help in the evaluation of proposals that include AI for Science.

Assist in the daily management and tracking of funded efforts.

Evaluate benchmarking results and provide feedback on methodological soundness.

Advise on deployment considerations, including interpretability, reliability, and safety in real-world settings.

Produce high-quality written reports and presentations that synthesize complex technical findings for diverse audiences.

Requirements:

5+ years of experience with Applied AI in the Health domain

Experience in the automation of research, ideally with the incorporation of AI to prioritize or otherwise direct research

Experience performing with distributed laboratories

Familiarity with languages for specifying experiments

Demonstrated expertise in the development of software for the biological sciences

Ability to operate independently within a fast-paced start-up environment

Minimum degree:

Ph.

D. or equivalent in the biological or physical sciences