Partner Data Analyst - Life Science Partnerships

Partner Data Analyst - Life Science Partnerships

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 Truvetas 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

This Partner Data Analyst position is a high impact, customer-facing role that requires a diverse set of skills spanning technical execution, applied research methodology, and relationship management. You will work directly with life sciences partners to translate research questions into analytical approaches, execute studies using real-world Electronic Health Record (EHR) data (~120M+ patients), and guide customers in best practices for real-world evidence generation.

You will play a key role in advancing customer research by helping shape analytical approaches, ensuring methodological rigor, and driving projects forward from question to insight. While customers may define or co-develop study protocols, you will provide guidance on study design, bias considerations, statistical approaches, and interpretation of results. This role requires balancing rapid-response analytical support with deeper, more complex investigations, while maintaining a high bar for scientific rigor and customer experience.

Responsibilities

• Partner closely with life sciences customers to understand research questions and translate them into analytical approaches
• Required to excel in providing technical analytics support as well as directly working with customers on calls to troubleshooting customer analysis.
• Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline.
• Build strong, trusted relationships with customer stakeholders, acting as a key partner in advancing their research goals
• Apply appropriate research methodologies, including cohort design, bias mitigation, and statistical analysis
• Communicate on the status of various projects and collaborate with success managers to ensure that Truveta clients can be successful with the platform.
• Guide customers on best practices in real-world data research, including study design tradeoffs and interpretation of results
• Lead customer-facing discussions to unblock research challenges and drive projects forward
• Collaborate with customers to support peer-reviewed publications and high-quality research outputs
• Deliver both rapid-response analyses and deeper, in-depth investigations depending on customer needs
• Provide technical support and troubleshooting for customer analyses, code, and notebooks
• Create enablement materials as the Truveta platform evolves to help onboard new researchers to our increasing capabilities.
• Collaborate cross-functionally to investigate data quality and demonstrate data reliability
• Deliver feedback to internal teams based on customer requests to inform Truvetas product roadmap.

Required Skills

• Undergraduate or graduate degree in clinical research, epidemiology, biostatistics, data science, clinical informatics, or a related field
• 5+ years of experience working in a technical customer-facing role, delivering high-quality research studies & analyses.
• 3+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare organizations.
• Strong proficiency in SQL, R and/or Python for statistical analysis
• Experience working across large, multi-domain healthcare datasets with millions of patients and hundreds of millions of records, leveraging distributed computing frameworks for scalable analysis.
• Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
• Strong understanding of real-world evidence principles, including bias, confounding, and study design considerations.
• Demonstrated experience applying research methodologies, including cohort design and statistical approaches.
• Experience delivering high-quality product demonstrations that enable customers or stakeholders to understand and effectively leverage data, platform capabilities, and analytical workflows.
• Proven ability to learn, adapt, and independently drive multiple projects forward in a fast-paced, start-up environment.
• Strong executive presence with the ability to build credibility and trust across stakeholders and effectively communicate complex technical concepts to both executive and technical audiences.

Preferred Qualifications

These qualifications are preferred but not required. Candidates will have opportunities to develop these skills over time.

• Advanced degree (MS, MPH, PhD) in epidemiology, biostatistics, health economics, or related field
• Experience supporting or contributing to peer-reviewed publications or conference abstracts
• Knowledge of advanced statistical methods such as regression, propensity score methods, survival analysis, and longitudinal data analysis
• Experience applying methods for causal inference or handling incomplete data in observational research
• Experience with Spark/PySpark or distributed data processing
• Experience with Regression, Propensity Score Matching, Kaplan-Meier Analyses, or Survival Analyses
• Experience working in customer-facing or consulting-style roles
• Demonstrated ability to present research findings to both technical and non-technical audiences

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 $130,000 to $160,000. 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 linkedhere.

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.

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.