SQL Programmer-Health Data Analyst Senior
New
P
Prime TherapeuticsHealthcare analytics
United StatesFull-TimeSenior
Salary81,000 - 138,000 USD per year
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Job Details
- Experience
- 5 years of relevant Healthcare experience
- Required Skills
- SQLGCPGit
Requirements
- Bachelor’s Degree in Mathematics, Statistics, or a related area of study, or an equivalent combination of education and work experience.
- High school diploma or GED is required.
- 5 years of relevant healthcare experience, including analyzing and using healthcare claims data, clinical research study design, and/or epidemiology.
- Previous experience with SQL coding.
- Intermediate to advanced Git skills.
- Intermediate to advanced Google Cloud Platform skills.
- Knowledge and experience with drug and disease terminology.
- Demonstrated experience solving complex problems using analytical tools and artificial intelligence software.
- A research master’s degree (e.g., M.S., M.P.H.) is preferred.
- Advanced clinical training or certifications are preferred.
- Previous clinical experience in a managed care, pharmaceutical, or PBM environment is preferred.
- Experience with large or complex databases in healthcare and/or the pharmaceutical industry is preferred.
Responsibilities
- Develop pharmacy drug therapy quality metric measurement methods, analytic code, data features, and data outputs using eligibility data and medical and pharmacy administrative claims.
- Support pharmaceutical manufacturer value-based contract reporting.
- Lead clinical research projects measuring and reporting outcomes associated with Prime’s clinical programs.
- Synthesize data and outputs into presentations or support materials for scientific journal articles and organizational audiences.
- Produce production data for reports, scorecards, and other data using Pharmacy and/or Medical claims.
- Work with data scientists, principal health outcomes researchers, and internal clients to refine study concepts and document technical specifications.
- Translate technical specifications into production analytic code.
- Define analytic requirements and standard operating procedures, and optimize code for decision support reports.
- Create statistically sound data sets and analysis methods, assess analysis program quality, and develop automated analysis tools where appropriate.
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