Senior Research Analyst

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

Truveta is seeking a motivated and results-driven Senior Research Analyst 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. In this role, you will collaborate closely with a broad set of disciplines, including communications, marketing, engineering, product, and fellow researchers to advance what is possible with healthcare data. You will have the opportunity to work with an extensive, high-quality dataset of real-world Electronic Health Records (EHR), encompassing over 130 million patients. You will transform complex datasets into impactful insights and share the results with the world using writing, data visualization, and oral presentations.

Responsibilities

• Independently lead end-to-end research studies, including literature review, study design, analysis plan development, data analysis, results interpretation, and dissemination of findings.
• Write and maintain data analysis code to process, wrangle, and analyze data, along with documentation detailing analyses performed.
• Write reports, conference abstracts, and manuscripts to showcase research methods and outputs for a variety of audiences.
• Manage multiple projects simultaneously, communicate project status and timelines to key stakeholders, and learn quickly to be able to efficiently produce research outputs across a variety of clinical areas.
• Work collaboratively with communications, marketing, clinical researchers, product and engineering teams to drive project success.
• Represent researcher input by providing feedback on the development of research solutions that enable clinicians and researchers to address real-world healthcare challenges.

Required Skills

• Education: Master's degree in biostatistics, epidemiology, public health, health services research, data science, or related quantitative discipline.
• Data analytics and applied statistical methods: 3+ 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. Experience with statistical programming and knowledge of time-series analyses, survival analyses, and longitudinal data analyses.
• Scientific publication or scientific writing: 3+ years of experience developing research publications or other scientific writing; including peer-reviewed manuscripts, conference abstracts, or blogs.
• Cross-functional collaboration: 3+ years of experience partnering with cross-functional teams and effectively communicating research findings and needs to non-technical stakeholders.
• Self-starter: Proven ability to work in a fast-paced environment within cross-functional teams to deliver high-quality projects under tight deadlines.
• Communication: Excellent written and verbal communication skills, capable of effectively conveying project status and timelines as well as complex research outputs to scientific and non-scientific audiences.

Preferred Qualifications

• Therapeutic area expertise: Experience conducting clinical, epidemiologic, health outcomes, or real-world evidence research in cardiology and/or neurology. Publication or presentation experience in these therapeutic areas is preferred.
• Education: PhD in biostatistics, epidemiology, public health, health services research, data science, or related quantitative discipline.
• Scientific publications: 2+ publications (can include conference abstracts), at least 1 as first author.
• Translational science communication: Experience translating scientific findings into written content for non-technical audiences, including blogs, white papers, reports, or other educational materials.