Job Description

Truveta is the worlds first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share ourcompany values .

Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week.

For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote

Who We Need

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

This Opportunity

We are seeking a Senior Biostatistician with expertise in the design, analysis, and interpretation of studies using electronic health records (EHR) and administrative claims data . This role will support a wide range of real-world data (RWD) projects including retrospective and prospective cohort studies, comparative effectiveness research, HEOR studies, and more. The ideal candidate is highly proficient in using real-world data and advanced statistical methods, and thrives in a collaborative, data-intensive environment.

Key Responsibilities

• Collaborate with the Research Services team to design and develop statistical analysis plans (SAPs) tailored for EHR and claims-based studies, and provide input into study protocols
• Review and develop methods to validate variable definitions, cohort definitions, and various data elements.

Data Analytics & Programming

• Conduct complex statistical analyses (e.g., time-to-event analysis, longitudinal data analysis, causal inference methods for observational and quasi-experimental designs such as propensity score matching, inverse probability weighting, and difference-in-difference) using R or Python.
• QC analyses and check assumptions of statistical models to ensure correct implementation of analyses and ensure quality and robustness of results.
• Review methods for data wrangling and transformation of large-scale EHR and claims data using SQL, R, or Python. Support data cleaning as needed.
• Develop and review reusable analytic pipelines and tools for scalable RWD analysis.

Reporting & Communication

• Interpret statistical findings in the context of real-world data limitations (e.g., missingness, measurement error).
• Generate clear and actionable insights via statistical reports, dashboards, or manuscripts.
• Present results to internal teams, clinicians, external stakeholders, and research collaborators.

Technical & Scientific Leadership

• Provide statistical mentorship and code review for junior team members.
• Provide thought leadership for how we can better leverage real-world data for research studies (ex: how can we fine-tune methods to better adjust for confounders, infer causality, and improve data quality?) .
• Ensure adherence to industry best practices and reproducible research principles.

Required Skills

• Masters or Ph.D. in Biostatistics, Mathematics, Epidemiology, Health Economics, Data Science, or related field.
• 5+ years of applied statistical experience with EHR and/or claims data (e.g., Optum, MarketScan, Flatiron, Epic, Cerner, CMS).
• Strong programming skills in R and SQL ; experience with Python, PySpark, or Databricks a plus.
• Proven expertise in working with structured health data using medical ontologies such as ICD-10, CPT, NDC, LOINC, and RxNorm.
• Experience with advanced methods such as:
• Propensity score matching or inverse probability weighting
• Survival time-to-event analysis (e.g., Cox proportional hazards model , Fine-Gray model, etc. )
• Generalized linear and mixed-effects models
• Difference-in-differences or interrupted time series
• Understanding of biases in RWD (e.g., immortal time bias, selection bias, etc.)
• Strong communication skills (written and verbal)

Preferred Qualifications

• Experience supporting regulatory-grade RWE , HEOR, or payer-facing studies.
• Exposure to clinical phenotyping, NLP, or unstructured data integration.
• Ability to translate statistical output into clinically meaningful insight.
• Proactive communicator, comfortable working across teams and customers.4Strong documentation habits and commitment to reproducibility.

Why Truveta?

Be a part of building something special. Now is the perfect time to join Truveta. We have strong,established leadership with decades of success.We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional andeverything in between.Join us as we build an amazing company together.

We Offer:

• Interesting and meaningful work for every career stage
• Great benefits package
• Comprehensive benefits with strong medical, dental and vision insurance plans
• 401K plan
• Professional development & training opportunities for continuous learning
• Work/life autonomy via flexible work hours and flexible paid time off
• Generous parental leave
• Regular team activities (virtual and in-person as soon as we are able)
• The base pay for this position is $145,000 to $165,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you dont meet all of the requirements.

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