Job Specifications
The Opportunity
This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (NASDAQ: MTSR), Areteia Therapeutics, and Corsera Health—we're building the future of population health.
As a Staff Data Scientist, you'll lead the design and execution of advanced analytics, statistical modeling, and machine learning across Onsera's platform, leveraging complex healthcare data—claims, clinical records, and real-world evidence—to power population risk stratification, predictive modeling, and AI-driven decision support. You'll be a strong independent applied research operator capable of tackling greenfield projects end-to-end while shaping the strategic direction of the data science function, defining modeling strategies that balance immediate needs with long-term vision (2+ years ahead), setting ML/AI standards and tooling, and elevating the work of others through rigorous technical review in close partnership with Product, Engineering, and Clinical teams.
Responsibilities
• 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
What we offer
• Mission-driven work addressing critical public health and healthcare economics challenges
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• Ground-floor opportunity to shape a breakthrough healthcare AI solution
• Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians from PHP and beyond
• A fast-paced, dynamic, and highly collaborative work environment
• Competitive salary and benefits package, including participation in our equity program
Minimum qualifications
• 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
Preferred qualifications
• 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
About the Venture
We are an early-stage health AI company revolutionizing cardiometabolic care and economics.
Our unique position within the PHP ecosystem provides:
• Venture Track Record: A proven track record of success in incubating innovative biotech and
healthcare companies
• Deep Capital: Funding runway and resourcing to support deep technological/scientific R&D and to drive growth
• Strategic Guidance: Direct access to industry pioneers (including founders of The Medicines
Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific lea
About the Company
Onsera Health is redefining virtual obesity and cardiometabolic care. As a licensed national provider, we deliver a comprehensive, evidence-based weight management solution designed to produce sustainable, measurable health outcomes at scale. Grounded in integrity, clinical rigor, and continuous innovation, Onsera combines advanced risk stratification, AI-driven personalization, and high-touch multidisciplinary care to deliver a level of precision and impact the market has not seen. We are not just treating weight—we are tra...
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