Clinical Research Scientist
New
O
Omada HealthDigital health
Remote, USAFull-TimeMiddle
SalaryZone 1: $133,400 - $166,750; Zone 2: $127,600 - $159,500; Zone 3: $116,000 - $145,000
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Job Details
- Experience
- 2+ years (post graduate school) of experience
- Required Skills
- PythonSQLR
Requirements
- PhD in statistics, data science, biostatistics, health economics, epidemiology, psychology, or a related field.
- 2+ years of post-graduate-school experience as a data scientist, analyst, research scientist, or similar in an academic, non-profit, or industry setting.
- Subject matter expertise in health behavior, chronic disease management, and/or health economics.
- Proficiency in R or Python for statistical analysis.
- Proficiency in SQL for extracting and cleaning data from a data warehouse.
- Expertise in advanced statistical methods for 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 is desired.
- Approximately 5% annual travel to offsite locations.
- Digital health industry experience is a plus.
- Specific expertise in diabetes, hypertension, or musculoskeletal care is a plus.
- Experience with health economic analyses, including healthcare cost and utilization analyses, cost-effectiveness evaluations, and budget impact modeling, is a plus.
Responsibilities
- Design and conduct studies and analyses to generate evidence for Omada’s programs.
- Write detailed evaluation and statistical analysis plans.
- Perform advanced statistical analyses and interpret and summarize results.
- Design mixed-methods studies that collect and synthesize 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 customer-facing stories.
- Represent the Clinical and Translational Research Team’s clinical and scientific perspective in cross-functional work.
- Analyze data from internal member-level data, external EHR data, healthcare claims, and clinical trials databases.
- Examine the effectiveness and cost-effectiveness of digital healthcare programs involving behavior change, medications, and digital devices for cardiometabolic programs.
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