Staff Data Scientist, Prealize Health
SME: Healthcare Financial Risk & Underwriting
$180-220k
+ Bonus and equity plan
Predictive healthcare analytics
Open for applications
Predictive healthcare analytics
21-100 employees
Open for applications
$180-220k
+ Bonus and equity plan
21-100 employees
Company mission
To transform care from reactive to proactive so that more people can live healthier lives.
Role
Who you are
- Education: PhD and/or MS in Statistics, Biostatistics, Economics, Computer Science, or a related quantitative field
- Experience: 8–10+ years of experience building and deploying commercial-grade data science products with a proven track record of technical leadership
- Domain Expertise: Deep experience building and validating models for healthcare underwriting use cases. Mastery of industry-standard risk scores and large-scale claims data is mandatory
- Programming & AI Tooling: Expert proficiency in Python and distributed computing (PySpark/Spark/SQL)
- Proficiency in leveraging AI-assisted coding tools (e.g., Claude Code, Cursor, Codex) to accelerate development cycles and enhance code quality
- Statistical Rigor: Expert-level understanding of model evaluation metrics (e.g., Gini, lift, calibration), back testing frameworks, and validation protocols for high-stakes predictive modeling
- Strategic Mindset: Demonstrated ability to lead cross-functional projects, influence technical roadmaps, and solve high-ambiguity problems in high-dimensional datasets
- Communication: Exceptional ability to distill complex technical strategies for executive stakeholders and external partners
Desirable
- Deep Learning Expertise: Mastery of transformer architectures, attention mechanisms, and pre-training/fine-tuning paradigms. Hands-on experience with PyTorch or TensorFlow is preferred
What the job involves
- As a Staff Data Scientist and the primary SME for Healthcare Financial Risk & Underwriting, you will serve as the technical authority for our most critical Healthcare financial risk and underwriting modeling domains
- You will bridge the gap between complex actuarial needs and cutting-edge machine learning, defining the technical roadmap to scale predictive models for risk adjustment and underwriting
- This is a strategic, high-impact role where you will lead the evolution of our predictive models, shaping how we evaluate and power the next generation of our underwriting product
- Domain Expertise: Act as the Subject Matter Expert (SME), drive the end-to-end building and execution of our Risk & Underwriting AI models, directly translating actuarial and healthcare financial risk expertise into high-performance AI models and rigorous evaluation frameworks
- Strategic Vision: Set the technical roadmap and lead the development of ML models focused on healthcare financial risk stratification and financial underwriting
- Methodological Excellence: Establish best practices for model building, model validation, and rigorous back testing/benchmarking across the data science organization to drive high performance models, while maintaining stability and alignment of models
- Technical Leadership: Mentor junior data scientists, fostering a culture of rigorous research, high-quality engineering, and innovation
- Cross-Functional Collaboration: Partner with clinicians to translate medical knowledge into data-driven hypotheses and with Product/Executive teams to align technical capabilities with market opportunities
- Platform Innovation: Work with Engineering to design the next generation of our platform’s quality and extensibility, ensuring it remains performant for millions of patients
- External Evangelism: Represent Prealize Health’s technical expertise to external strategic partners and stay at the forefront of literature in ML, Actuarial Science, and Biostatistics
Our take
Most of healthcare today is very reactive – with care being delivered when someone is already ill. Prealize believe that millions of lives and billions of dollars could be saved by focusing on keeping individuals and their families well in the first place.
Prealize attempts to do this through leveraging machine learning and clinical expertise to provide predictive health analytics to healthcare providers. Its services are rooted in the leading research of its two Stanford University academic founders.
The company is determined to expand its portfolio of products and services that can positively impact healthcare in a proactive way. Thus far, that has meant services as wide ranging as a consumer experience platform that invites patients to consider their health earlier to an underwriting platform for high-cost health insurance claimants.
The determinant of Prealize’s success will be its ability to translate its deeply sophisticated machine learning models into practical applications that can be seamlessly integrated into the existing workflows of healthcare stakeholders.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Company HQ
Hayward Park, San Mateo, CA
Leadership
Kyle Raffaniello
(CEO)Previously spent over 8 years at Sapphire Digital as the President, Chief Growth & Strategy Officer and CEO. Prior to that, they spent 4 years at Vitals as the Chief Strategy & Marketing Officer and another 4 years at ValueOptions as the Executive VP/Chief Strategy Officer.
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