Strategic Analysis Incorporated · 2 days ago
Applied AI Scientist (Health) (26-002)
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. The role involves providing technical guidance and oversight across the full life-cycle of AI system development, including data aggregation, model training, and real-world deployment. Responsibilities include evaluating proposals, advising on model development, and collaborating with clinical SMEs to ensure AI outputs meet clinician expectations.
Professional Services
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
Strategic Analysis Incorporated
Strategic Analysis Inc.
Funding
Current Stage
Growth StageTotal Funding
$1.35MKey Investors
US Department of Energy
2024-08-26Grant· $1.15M
2023-07-10Grant· $0.2M
Leadership Team
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