[Hiring] Clinical Research Scientist @Omada Health

Role Description

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.
• Communicating results via peer-reviewed manuscripts, abstracts, white papers, and other reports.
• Collaborating cross-functionally with teams across the organization to design and evaluate studies with a focus on both customer and member perspectives.

Your impact includes:

• Designing and conducting studies/analyses to generate evidence for Omada’s programs.
• Writing detailed evaluation and statistical analysis plans.
• Performing advanced statistical analyses and interpreting and summarizing the results.
• Designing studies that include a mixed methods approach, collecting and synthesizing both quantitative and qualitative data.
• Disseminating findings through peer-reviewed manuscripts, abstracts, white papers, Commercial assets, and other reports.
• Collaborating with Clinical Strategy and Commercial teams to translate findings into compelling customer-facing stories.
• Serving as a representative for the Clinical and Translational Research Team with cross-functional teams.
• Supporting Omada’s research program by analyzing data from a variety of sources.
• Contributing to studies by examining the effectiveness and cost-effectiveness of a comprehensive digital healthcare program.

Qualifications

• 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.

Requirements

• 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.

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.
• Lifestyle Spending Account (LSA).
• Mental Health Support Solutions.
• ...and more!