Research Analyst for Customer Success

Customer Success Research 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 a superb team of inspired and talented individuals with unique experience in health, software, and big data, who share our .

Truveta was founded in the Pacific Northwest, but we have employees all over the country. Our team enjoys the flexibility of a hybrid working model and the ability to work from anywhere. Physical attendance is required for two weeks per year during Truveta Planning Weeks.

To maximize team productivity, we schedule meetings based on the Pacific Time zone. We avoid scheduling recurring meetings that start after 3pm PT, but ad hoc meetings may occur between 8am-6pm Pacific Time.

Who We Need

Truveta is quickly establishing a talented, diverse team to confront complex health and technical issues. We're looking for problem solvers, passionate and collaborative colleagues, and those willing to roll up their sleeves to make a difference. If you're interested in purposeful work, joining a mission-driven team, and building a rewarding career while having fun, Truveta may be the ideal fit for you.

This Opportunity

This customer-facing Customer Success Research Analyst role is high-impact and challenging, requiring a broad set of skills. It offers unique growth opportunities by working with an unprecedented amount of high-quality real-world Electronic Health Record (EHR) data. You will be solving significant problems in healthcare using an EHR database of approximately 100 million patients (and growing!) and making an impact on patient care. This position reports to our Director of Research Success under the Partner team, supporting strategic engagements with our Life Sciences partners.

Responsibilities

• Use technical skills to handle customer analysis requests, deliver studies and results using SQL, R, and Python within agreed deadlines.
• Collaborate with Life Sciences customers on analyses, helping them produce peer-reviewed publications.
• Communicate the status of various projects and collaborate with success managers to ensure Truveta clients can successfully use the platform.
• Excel in providing technical analytics support and work directly with customers on calls to troubleshoot their analyses.
• Help customers achieve their goals by teaching them how to process and analyze data using SQL, R, and Python on RWD to address their empirical questions.
• Write regex queries using Databricks SQL to extract clinical concepts from clinical notes as per customer request.
• Create onboarding materials as the Truveta platform evolves to aid new researchers with our increasing capabilities.
• Work closely with other Truveta teams to perform investigations of data sources to reassure current customers.
• Provide feedback to internal teams based on customer requests to inform Truveta's product roadmap.

Required Skills

• Undergraduate or graduate level education in clinical research, data analysis, clinical informatics, or a related field.
• Experience in working with large databases consisting of millions of patients' data.
• 3+ years of experience processing and analyzing Electronic Health Record data or other Real-World Data sources in life science companies, CROs, other EHR data companies, or healthcare using SQL, R, and Python.
• Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
• 2+ years of experience working with customers to deliver high-quality research analyses.
• Capability to learn and adapt swiftly in a dynamic start-up environment.

Preferred Qualifications

These qualifications are preferred but not mandatory; please don't let them deter you from applying for this role. You will likely have the opportunity to learn these more advanced analyses if you don't already possess experience with them.

• Regex query writing experience
• Knowledge of statistics
• Experience with regression
• Familiarity with Propensity Score Matching
• Experience conducting Kaplan-Meier Analyses
• Knowledge of Survival Analyses
• Experience with Spark/PySpark

Why Truveta? 

Be a part of building something extraordinary. Now is the ideal time to join Truveta. We have robust, experienced leadership with decades of success. We are well-funded. We are nurturing a culture that prioritizes people and their passions across personal, professional, and every aspect in-between. Join us as we build an impressive company together.

We Offer:

• Intriguing and purposeful work for every career stage
• An excellent benefits package
• Comprehensive benefits with top-tier medical, dental, and vision insurance plans
• 401K plan
• Professional development & training opportunities for ongoing learning
• Work/life balance through flexible working hours and flexible paid time off
• Generous parental leave
• Regular team activities (online and in-person as soon as we can)
• The base salary for this position ranges from $102,000 to $142,000. The pay range reflects the minimum and maximum target, based on factors like location and job-related knowledge, skills, and experience. Some roles may be eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this vital information for California residents

Truveta is committed to fostering a diverse, inclusive, and empowering workplace. We believe having employees, interns, and contractors from diverse backgrounds enables Truveta to better fulfill our mission and serve patients and health communities worldwide. We acknowledge that opportunities in technology have historically excluded Black and Indigenous individuals, people of color, people from working-class backgrounds, people with disabilities, and LGBTQIA+ individuals. We strongly encourage individuals with these identities to apply, even if you don't meet all the requirements.