Lead Data Scientist - RWE (Real World Evidence)
About the role
Position Summary
Lead Data Scientist
role, you will acquire and analyze raw data and create large and complex analytic datasets to support project needs. This role will support the extraction, transformation, and integration of data from a wide variety of data sources. You will use your programming expertise to create complex algorithms, applications, and data visualizations. You will be responsible for the overall quality of data and instrumental in identifying gaps in the data. The role will require working with and mentoring junior analysts on the team. You will conduct statistical and methodological activities in design, analysis, interpretation, and dissemination on a wide variety of RWE studies. Client interfacing, project timelines and deliverables management are an integral part of this role.Your duties will include: • Contribute to study design, including sample size estimation, power analysis, and research relevant literature.
- Develop and review protocols and statistical analysis plans.
- Create and evaluate the data needs of assigned projects and assures the high quality of the deliverables.
- Develop data structures to organize, collect and standardize data that helps generate insights.
- Explore, examine, and interpret large volumes of data in various forms.
- Perform analyses of structured and unstructured data to solve research problems.
- Conduct descriptive and advanced statistical modeling.
- Present analytic results internally and externally. Uses data visualization techniques to effectively communicate analytical results as needed.
- Prepare research abstracts, manuscripts, and reporting development.
- Document projects including project objectives, data gathering and processing, detailed set of results and analytical metrics.
Required Qualifications
- Master's Degree in biostatistics, health economics, outcome research, epidemiology, or other related fields with minimum of 5+ years of experience if MS; or PhD with 1+ year experience in: • Working with claim data, electronic medical record data, or other real- world health data, and have a strong understanding of analytics and how it is leveraged within the healthcare/retail industry.
- Leading project management activities, including communications within project teams, stakeholder management, and leadership updates.
- Extracting actionable insights from the analysis and interpreting outcomes of complex models to present to diverse audiences including technical, non-technical, and senior leaders.
- Advanced statistical modeling, propensity score matching, etc.
- SAS, R, or Python at the proficiency level
- Excellent written and oral communication skills, ability to interact with and influence decision-making
Preferred Qualifications
- Master's Degree with minimum of 7+ years of experience if MS; or PhD with 3+ year experience in biostatistics, health economics, outcome research, epidemiology, or other related fields
Education
- Master's Degree in biostatistics, health economics, outcome research, epidemiology, or other related fields
Pay Range
Great benefits for great people
Affordable medical plan options,
401(k) plan
employee stock purchase plan
No-cost programs for all colleagues
Benefit solutions that address the different needs and preferences of our colleagues
Not included in the source posting: about the role.
Skills
Who can apply
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