Conducting health data analysis based on large databases such as administrative claims, electronic health records (EHR), and disease registry.
Independently conduct retrospective studies with limited supervision starting with applying inclusion-exclusion criteria to demographics, pharmacy, inpatient, outpatient claims data, building the cohort, and finally conducting statistical analyses.
Consultation with fellow researchers to help design and conduct retrospective observational studies.
Data analysis using SAS and SQL to support observational studies and clinical trial research.
Quality control of databases including electronic health records and claims databases to ensure accurate and up-to-date availability of data.
Management of large databases that include data cleaning, organizing, manipulation, and extraction.
Present findings and project updates to internal teams at periodic team meetings.
Will travel to various unanticipated client sites in the U.S.
Occasional remote work permitted.
Requirements:
Master' s degree in Health Outcomes and Policy or similar.
2 years of experience as a Senior Real-World Data Analyst, Graduate Research Assistant, or similar role working with health outcomes.
2 years of SAS programming experience.
2 years of SQL experience.
Knowledge of GLM or GENMOD procedure required.
Experienced in manipulating large patient claims databases to generate health outcome research report for publication.
Familiar with healthcare claims data, electronic health records data, patient longitudinal analysis experience, and diagnosis (ICD) procedure (CPT/ICD), and national drug code (NDC) coding systems.
Experience working with health outcomes, health services research, and/or Pharmacoeconomics and real-world observational study.
Ability to communicate statistical findings in scientific meetings.
Statistical background or knowledge of statistical methods such as multivariate analysis, logistic regression, generalized linear models.
