Clinical Research Scientist

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.

Zone 1: $133,400 - $166,750

Zone 2: $127,600 - $159,500

Zone 3: $116,000 - $145,000