Real World Data Analyst

Truveta is the world’s 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 our company 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 at least once per year for an onsite meeting. 

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 

The Real World Data Analyst role is a high-impact, intellectually challenging position that requires a diverse set of analytical and technical skills. It offers a unique opportunity for professional growth through access to an unprecedented volume of high-quality, real-world Electronic Health Record (EHR) data. In this role, you will tackle meaningful healthcare challenges using an EHR database encompassing more than 125 million patients—and growing—helping drive insights that can ultimately improve patient care. This position reports to the Senior Director of Research Services.

As a Real World Data Analyst, you will collaborate strategically with some of our largest life sciences partners. This role provides the opportunity to dive deeply into complex research questions related to human health and generate data-driven insights that support impactful scientific decisions. 

Responsibilities

• Translate study protocols and statistical analysis plans (SAPs) into reproducible analytical code, executing end-to-end research studies from data extraction and wrangling through statistical analysis and results generation using SQL, R, or Python within agreed timelines.
• Review and interpret study protocols and SAPs, ensuring analytical approaches are implemented accurately and consistently with study objectives.
• Develop robust data pipelines for cohort building, data cleaning, feature engineering, and preparation of analytical datasets using large-scale real-world data sources.
• Conduct rigorous quality control (QC) of code, datasets, and statistical outputs, including verification of model assumptions, reproducibility of results, and validation of analytical approaches.
• Proactively identify and communicate potential data issues, methodological concerns, or deviations from study protocols early in the research process, recommending solutions and mitigation strategies.
• Collaborate closely with biostatisticians and researchers to support the development, refinement, and review of statistical analysis plans and analytical methods.
• Interpret analytical results and contribute to the synthesis of findings, ensuring outputs are scientifically sound and aligned with study objectives.
• Partner with life sciences customers and internal teams to execute high-quality analyses that support peer-reviewed publications, regulatory submissions, and scientific research.
• Provide clear, proactive communication on study progress, analytical challenges, and timelines, ensuring stakeholders remain informed and aligned.
• Work closely with cross-functional teams across Truveta to investigate data sources, validate data integrity, and support scientific credibility of research outputs.
• Deliver feedback to internal teams based on research experiences and customer needs to help inform improvements to Truveta’s data platform and research capabilities.

Required Skills

• Undergraduate or graduate degree in biostatistics, epidemiology, clinical research, data science, clinical informatics, or a related field.
• 3+ years of experience conducting analyses using large healthcare datasets (e.g., electronic health records or other real-world data sources).
• Strong proficiency in SQL and at least one statistical programming language (R or Python) for data wrangling, analysis, and reproducible research workflows.
• Experience translating research protocols or statistical analysis plans into executable analytical code.
• Experience performing rigorous quality control of analytical datasets, code, and statistical outputs.
• Demonstrated experience working with complex healthcare data involving millions of patient records.
• Experience collaborating with research teams or customers to deliver high-quality scientific analyses.
• Strong problem-solving skills and the ability to identify data or methodological issues early and communicate them effectively.
• Excellent written and verbal communication skills, including the ability to clearly explain analytical approaches and findings to technical and non-technical stakeholders.
• Ability to learn quickly and adapt in a dynamic, fast-paced environment.
• Willingness to learn new analytical tools, programming languages, and proprietary platforms used to analyze real-world data.

Preferred Qualifications

These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.   

• Experience applying causal inference methods to observational healthcare data, including approaches such as propensity score matching/weighting, inverse probability weighting, marginal structural models, or instrumental variable analysis.
• Familiarity with study designs used to estimate causal effects in real-world data, such as target trial emulation, difference-in-differences, regression discontinuity, or interrupted time series.
• Experience evaluating confounding, selection bias, and other threats to causal validity in observational studies.

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 and everything 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)
• The base pay for this position is $94,000 to $145,000. 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 don’t meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.