This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health.
The client
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.
The role
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.
- 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.
The candidate
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 leaders at Oxford University Ellison Institute of Technology).
- Expert Network: Established connections across pharma, payers, and providers.
- Startup Agility: Ownership in the venture, founder mentality, and ground‑floor impact.
About PHP
Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry‑leading capabilities and technology. The firm’s incubation portfolio includes Metsera (NASDAQ:MTSR), Areteia Therapeutics, and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare.
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