Description

ROLE OVERVIEW

Patient Square Capital (“Patient Square”, “The Firm”) is seeking an Associate Data Scientist to join the Patient Square Insights (PSI) team. Patient Square Insights is an in-house scientific, technical, and market research team that brings a diverse set of expertise to health care investing. This role will help build and maintain data pipelines and analytic datasets, develop machine learning models to support prediction and decision-making, and translate complex analyses into clear insights for internal stakeholders. The ideal candidate has 1–3 years of industry experience working with large health care datasets (especially claims), strong technical fundamentals, and a collaborative, results-oriented mindset.

Requirements

QUALIFICATIONS

• BS/MS in a quantitative field (e.g., Computer Science, Statistics, Data Science, Applied Math, Engineering, Economics, or similar)
• Analytical requirements:
  • 1–3 years of industry experience in data science, analytics, or related roles
  • Strong programming skills in Python and R; experience with SQL and relational databases
  • Experience building predictive models (e.g., classification, regression, time-to-event/survival, propensity modeling) and evaluating performance with appropriate metrics
  • Familiarity with ML tooling and best practices (feature engineering, cross-validation, leakage prevention, model interpretability, reproducibility)
  • Experience with data wrangling and large-scale dataset construction (pandas/PySpark or equivalent); comfort working in cloud environments is a plus (AWS/GCP/Azure)
  • Strong problem-solving and analytical skills; ability to work with ambiguous questions and create structured approaches
•  Healthcare experience is a strong plus. This could include:
  • Hands-on experience working with healthcare claims data (e.g., medical and pharmacy claims), eligibility, and provider data; familiarity with common coding systems (ICD-10, CPT/HCPCS, NDC) is a plus
  • Previous experience modeling clinical trial outcomes, interpreting clinical trials, and/or designing clinical trials
  • Previous experience modeling EHR data to identify novel patient population
•  Professional requirements:
  • Excellent written and verbal communication skills, including the ability to simplify and communicate technical results to non-technical audiences
  • Team spirit and eagerness to collaborate in a fast-paced environment while managing multiple workstreams

RESPONSIBILITIES

• Build, validate, and maintain analytic datasets from claims and other healthcare data sources; implement data quality checks and documentation
• Develop machine learning models and predictive analytics (e.g., trial prediction, cohort identification)
• Design and conduct analyses to generate insights from real-world data (e.g., patient journeys, adherence/persistence, provider patterns, line-of-therapy proxies)
• Partner with internal stakeholders to translate business and investment questions into technical workplans, and communicate results in a clear, actionable format
• Create repeatable workflows, codebases, and dashboards/notebooks that improve speed, rigor, and scalability of analysis
• Contribute to best practices around data governance, privacy-aware handling of sensitive datasets, and reproducible research
• Stay current on healthcare data methods, claims-based measurement approaches, and practical ML techniques relevant to real-world eviden

Location: Menlo Park, CA (in-person, five days per week)

Time commitment: Full-time

FLSA Classification: This position is classified as Exempt under the Fair Labor Standards Act.

SALARY

The expected annualized salary range for this role is $150,000–$200,000. Compensation for this role may also include a discretionary bonus, subject to Patient Square policies and individual and Firm performance. The actual salary offered will depend on factors such as relevant skills, experience, training, education, and jobrelated qualifications, as well as market and organizational considerations. This range represents the Firm’s goodfaith estimate at the time of posting. The salary range may be modified in the future as permitted by applicable law.

ABOUT PATIENT SQUARE

Patient Square Capital is a dedicated health care investment firm with approximately $17 billion in assets under management. The firm aims to achieve strong investment returns by partnering with growth-oriented companies and top-tier management teams whose products, services, and technologies improve health. Patient Square utilizes deep industry expertise, a broad network of relationships, and a partnership approach to make investments in companies that will grow and thrive. Patient Square invests in businesses that strive to improve patient lives, strengthen communities, and create a healthier world. For more information, visit www.patientsquarecapital.com.

HOW TO APPLY

Please submit the following no later than 5:00 pm PT on March 16, 2026. Applications will be reviewed on a rolling basis:

• A current resume. Please include GPA(s).
• A brief cover letter addressing the following:
  • Your interest in applying data science techniques to inform investment decisions.
  • An example of how you have effectively worked in a team.
  • (Optional) An example of a prior analysis of health care data used to inform a decision.

EQUAL EMPLOYMENT OPPORTUNITY

Patient Square Capital is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, national origin, ancestry, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, age, disability, genetic information, marital status, veteran status, citizenship status, or any other characteristic protected by applicable federal, state, or local law. The Firm is committed to providing reasonable accommodations to individuals with disabilities throughout the application and employment process, in accordance with applicable law.