14 months plus contract role
Remote
- Strong programming skills in SAS / R programming and data analysis.
- Extensive work experience with large US insurance claims databases, electronic medical records, registry databases for Health Outcomes research (e.g., Optum, Premier, IBM-marketscan, Humedica, IMSPharmetrics +, GEhealth, Flatiron, etc.)
- Experience with Ex-US healthcare databases such as THIN database is a plus
- Experience working with medical and billing coding systems such as ICD-10, SNOMED, LOINC, NDC, HCPCS, CPT.
- Familiar with cloud and high-performance computing environments (Azure, AWS)
- Develop protocols and Statistical Analysis Plan (SAP) based on the study concept, and ensure appropriateness of study design, sample size and statistical methodologies proposed.
- Develop and implement rigorous QC processes and programming templates to ensure quality of data and analyses.
- Conducts statistical analyses to generate tables, listings, and figures for use in publications/presentations and for internal purposes
- Must be able to meet timelines with minimal supervision, have excellent verbal and written skills. Solid ability to translate statistical information.
- Master or post-graduate degree (eg, PhD, DrPH, PharmD) in Health Economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or other relevant discipline, with experience in coding and developing analytical datasets and conducting statistical analysis.
- Bachelors degree ok with more experience (more than 2 years)
- Minimum 3 years of experience in SAS programming and a minimum 2 years of hands-on work experience with real world studies using large claims/EMR databases in HEOR