Applied AI Scientist; Health

Strategic Analysis, Inc. (SA) is actively seeking an Applied AI Scientist with deep expertise in artificial intelligence and machine learning to support a program advancing AI diagnostics for rare diseases. This is a Science and Engineering and Technical Advisor (SETA) role, focused on providing technical guidance and oversight.

• Review and evaluate AI/ML technical proposals and deliverables from external teams.
• Provide guidance on model development, training methods, and validation strategies.
• Advise on integration of multimodal health data (EHR, imaging, genomic, and patient-reported).
• Assess alignment of model architectures and approaches with program goals and clinical use cases.
• Evaluate benchmarking results and provide feedback on methodological soundness.
• Advise on deployment considerations, including interpretability, reliability, and safety in real-world settings.
• Collaborate with clinical SMEs to ensure AI outputs align with clinician expectations and workflows.
• Identify risks, gaps, or weaknesses in technical approaches and recommend corrective actions.
• Support program leadership with technical assessments, reports, and recommendations.
• Produce high-quality written reports and presentations that synthesize complex technical findings for diverse audiences.

• Operate with a high degree of ownership and accountability.
• Exhibit initiative and independence and are effective under conditions of ambiguity.
• Perform with exceptional rigor and precision, maintaining exacting standards of quality.
• Thrive in an environment of high pace and intensity, delivering under demanding deadlines.
• Communicate clearly and professionally across written, verbal, and asynchronous channels.
• Bring ambition and a mission-oriented mindset, motivated by advancing AI systems that achieve real clinical and patient impact.

• Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, or related field.
• 5+ years of experience in related field.
• Experience applying advanced ML methods (LLMs, deep learning, etc.) to complex health datasets.
• Familiarity with clinical and biomedical data types, including EHR, genomic, and imaging data.
• Demonstrated ability to review, critique, and guide AI/ML technical work at a high level.
• Strong understanding of evaluation methods for AI/ML, including robustness, fairness, interpretability, and reproducibility.
• Strong written and visual communication skills, with ability to produce high-quality reports and presentations.

• Experience in healthcare AI or biomedical applications.
• Familiarity with the rare disease field.
• Prior involvement in technical advisory, evaluation, or SETA-style roles.
• Experience working with interdisciplinary teams including clinicians and patient stakeholders.
• Experience working in an early‑stage, fast‑paced, startup environment.

Education:

Master's degree (PhD preferred) in Computer Science, Machine Learning, Data Science, or related field.

Location:

Position is remote.

Travel:
Periodic travel may be required.

Clearance:
Ability to obtain HHS Public Trust.