Omada Health is on a mission to bend the curve of chronic disease.

Job overview

Reporting to Omada’s Senior Director, Clinical & Translational Research, the Clinical Research Scientist role is part of the Clinical & Translational Research team. This role is responsible for conceptualizing research questions and studies; analyzing and interpreting data from various sources, including but not limited to internal Omada member-level data, external EHR data, healthcare claims, and clinical trials databases; and communicating results via peer-reviewed manuscripts, abstracts, white papers, and other reports. This role is also responsible for collaborating cross-functionally with teams across the organization to design and evaluate studies with a focus on both customer and member perspectives.

Your impact

Design and conduct studies/analyses to generate evidence for Omada’s programs by writing detailed evaluation and statistical analysis plans, performing advanced statistical analyses, and interpreting and summarizing the results
Design studies that include a mixed methods approach, collecting and synthesizing both quantitative and qualitative data
Disseminate findings through peer-reviewed manuscripts, abstracts, white papers, Commercial assets, and other reports
Collaborate with Clinical Strategy and Commercial teams to translate findings into compelling customer-facing stories
Serve as a representative for the Clinical and Translational Research Team with cross-functional teams, demonstrating independence in representing the team’s clinical and scientific perspective
Support Omada’s research program by analyzing data from a variety of sources and clearly communicating how findings support the broader goals and context in the organization and field
Contribute to studies by examining the effectiveness and cost-effectiveness of a comprehensive digital healthcare program that includes behavior change, medications and digital devices for cardiometabolic programs

About you

You are passionate about understanding the impact of digital health behavior change programs on preventing and treating chronic diseases and driving changes in healthcare delivery.

To be successful, you will need

PhD in statistics, data science, biostatistics, health economics, epidemiology, psychology, or a related field
Subject matter expertise in health behavior, chronic disease management, and/or health economics
2+ years (post graduate school) of experience as a data scientist, analyst, research scientist, etc., in an academic, non-profit, or industry setting.
Proficiency in R or Python for statistical analysis
Proficiency in SQL for extracting and cleaning data from our data warehouse
Expertise in advanced statistical methods for the design and analysis of randomized controlled trials, experimental and quasi-experimental studies, and retrospective observational studies
Ability to work with data “end to end”, from cleaning to interpretation
Experience with healthcare analytics, claims and EHR data desired
Excellent time management and organizational skills
Attention to detail
Ability to work independently in a fast paced environment as an individual contributor, and as part of a team with diverse experiences and skill sets

To stand out

Digital health industry experience
Specific subject matter expertise in diabetes, hypertension, or musculoskeletal (MSK) care
Experience conducting health economic analyses, including healthcare cost and utilization analyses, cost-effectiveness evaluations, and budget impact modeling, to assess the economic value of clinical programs

Working Conditions

Remote-first environment.
Occasional travel to offsite locations, approximately 5% annually.

Benefits

Competitive salary with generous annual cash bonus
Equity grants
Employee stock purchasing plan (ESPP)
Remote first work from home culture
Flexible Time Off to help you rest, recharge, and connect with loved ones
Generous parental leave
Health, dental, and vision insurance (and above market employer contributions)
401k retirement savings plan