Senior Research Analyst

Truveta•Seattle, WA

9d•$158,000 - $175,000•Hybrid

About The Position

Senior 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 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 for two weeks during the year for Truveta Planning Week. 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 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 push the boundaries of what can be achieved 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 100 million patients. You will transform complex datasets into impactful insights and share the results with the world using writing, data visualization, and oral presentations.

Requirements

Education: Master’s degree in a quantitative discipline such as statistics, mathematics, computer science, engineering, or economics.
Data analytics: 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.
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.

Nice To Haves

Statistical programing and expertise in applied methods: experience with statical programming and knowledge of time-series analyses, survival analyses, and longitudinal data analyses; experience with SQL and PowerBI.
Scientific writing: 2+ publications (can include conference abstracts), at least 1 as first author.
Non-publication focused writing: Experiencing translating scientific outcomes into a written product for a lay audience.

Responsibilities

Lead end-to-end research studies, including literature review, study design, data analysis, results presentation, and written outputs.
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.