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Truveta is seeking a motivated, innovative, and technical Applied Research Scientist to join Truveta Research. Truveta Research is an internal research organization focused on demonstrating what’s possible with Truveta by producing high-interest, high-quality, trusted research. As an Applied Research Scientist, you will collaborate closely with a broad set of collaborators across communications, marketing, engineering, product, and fellow scientists to push the boundaries of what can be achieved with healthcare data, transforming complex datasets into impactful research. You will have the opportunity to work with an extensive, high-quality dataset of real-world Electronic Health Records (EHR), encompassing over 100 million patients. Your work will produce findings that advance public health and patient outcomes, while upholding the highest standards of clinical and scientific rigor.
Job Responsibility:
Proactively initiate and drive applied research studies aligned with business objectives, from ideation through peer-review publication
Apply appropriate and rigorous methods for observational data studies, such as causal inference methods, missing data approaches, survival analysis, longitudinal data analysis, and time series analysis
Write, review, and maintain code (R or Python) to process, wrangle, and analyze data, identifying problems, devising solutions, and creating methodologies that drive data insights and best practices
Be accountable to agreed upon timelines for delivering research studies, working to communicate and manage dependencies
Proactively manage several projects simultaneously to maximize impact and efficiency of your work
Work collaboratively with internal and external stakeholders, including engineering, product, clinical informatics, and communications
Represent researcher input by providing feedback on the development of research solutions that enable clinicians and researchers to address real-world healthcare challenges
Requirements:
MD or PhD in Epidemiology, HEOR, Biostatistics, or a related field
Extensive experience with statistical and econometric methods for analyzing complex real-world data, including approaches for causal inference, handling incomplete data, modeling longitudinal or time-to-event outcomes, and working with structured or hierarchical data
5+ years of hands-on experience with statistical programming in R and/or Python, with experience executing analysis plans intended for publication, particularly within the health sciences
5+ years of experience developing research publications, including peer-reviewed manuscripts and conference abstracts, including handling peer review
3+ years of experience partnering with cross-functional teams and effectively communicating research findings and needs to non-technical stakeholders
Proven ability to work within cross-functional teams to deliver research under tight deadlines
Demonstrated ability to present complex research findings to both scientific and non-scientific audiences, adapting messaging and depth to the needs of clinicians, researchers, executives, media, and lay stakeholders
Nice to have:
Experience writing and/or speaking on real-world evidence, epidemiology, biostatistics, or related areas
Experience translating research findings for lay audiences
Experience presenting research to both scientific and non-scientific audiences, tailoring complexity and interpretation for diverse stakeholders
Understanding of common clinical vocabularies and structures (e.g., ICD-10, SNOMED, RxNorm, LOINC)
Demonstrated capacity to rapidly absorb new methods, tools, and domain knowledge in a fast-paced environment
What 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)
Additional compensation such as incentive pay and stock options