Staff Data Scientist

• Lead the design and development of cutting-edge ML, AI, and statistical models for population health in close collaboration with Product, Clinical, and Engineering teams
• Define and execute modeling strategies that balance current business needs with long-term technical vision (2+ years ahead)
• Establish ML/AI standards, best practices, and tooling across the data science organization
• Drive the scientific rigor of Onsera’s analytical outputs, including study design, bias mitigation, and reproducibility of research
• Review and elevate the work of other data scientists, providing technical mentorship and ensuring quality
• Analyze and model over large-scale claims, EHR, pharmacy, lab, and other datasets to deliver clinically meaningful and commercially actionable impact
• Communicate findings to technical and non-technical stakeholders through clear visualizations, written reports, and presentations that support clinical and commercial decision-making

• 8+ years of experience in data science, applied statistics, or a related field, with demonstrated impact at scale
• PhD in Mathematics/Statistics, Computer Science, Economics, or other quantitative disciplines (or MS with equivalent experience)
• Proven track record of independently leading applied research initiatives from conception to production deployment, with measurable business impact
• Deep expertise in statistical modeling, classical ML approaches, experimental design, and emerging AI/ML methodologies
• Expert-level Python proficiency with extensive experience using scientific and ML libraries (e.g., pandas, scikit-learn, statsmodels, PyTorch/TensorFlow)
• Extensive hands-on experience with large-scale analytical data warehouses (BigQuery or equivalent)
• Experience defining modeling strategies and technical roadmaps
• Strong track record of establishing ML/AI standards, best practices, and tooling within data science organizations
• Experience leading cross-functional initiatives with Engineering, Product, and Clinical stakeholders, with ability to influence technical and strategic decisions
• Experience mentoring and elevating the work of other data scientists through technical review and guidance
• Exceptional written and verbal communication skills, including the ability to present complex technical work to executive audiences and influence organizational strategy

• Healthcare domain experience, including work with claims data and/or EHR-derived datasets
• Experience with techniques such as survival analysis, causal inference, longitudinal modeling, or time series methods in clinical or population health contexts
• Experience with LLMs or unstructured data extraction in healthcare settings

Competitive salary and benefits package, including participation in our equity program