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Senior Data Scientist, Clinical AI
Not specifiedFull-timeData ScienceHealthTech
Build and evaluate AI applications for clinical reasoning. Work with clinicians, customers, product, and engineering teams to turn healthcare problems into scientific experiments and production solutions.
Responsibilities
- Partner with clinical, customer, product, and engineering teams to formulate testable scientific questions.
- Analyze real-world clinical data and AI system behavior to identify patterns, failure modes, and opportunities for improvement.
- Develop LLM and generative AI applications for clinical reasoning and healthcare.
- Build evaluation frameworks, metrics, and benchmarks for clinical and AI performance.
- Own projects from exploration through production, ensuring data quality, reproducibility, and reliability.
Requirements
- At least 5 years of hands-on data science experience, including significant HealthTech or Digital Health experience.
- Experience building LLM-based products, including context management, tool integration, safety guardrails, and nondeterministic behavior.
- Strong understanding of clinical workflows and healthcare challenges.
- Ability to turn ambiguous problems into rigorous experiments and practical product solutions.
- Strong programming and analytical skills, including experience with complex datasets.
- BSc in Data Science, Computer Science, Engineering, Statistics, or a related field.
- Collaborative approach and clear communication with technical and non-technical stakeholders.
Nice to have
- Experience with AI evaluation, benchmarking, scoring, or QA pipelines.
- Background in clinical decision support, EHR data, or healthcare outcomes.
- Experience in statistical modeling or reinforcement learning.
- Experience working with clinical testing or QA teams.
- Master’s degree or higher in a relevant field.