LOCATION: US (can be virtual although a relocation may be possible)
Anlitiks, a young and vibrant boutique company in the space of Real-World Evidence and Health Economics is growing exponentially. Our team of qualified professionals have grown by more than 10 times in the past year alone and is expected to continue our rapid expansion. Our continued growth is supported by our client base of major pharma and us having attracted significant investment from a strategic partner to propel us further.
STATEMENT OF THE JOB:
Successful candidate must have advanced SAS programming and analysis experience in Health Economics and Outcomes Research (HEOR) and epidemiological research, demonstrated solid experience in using claims databases (e.g., Medicare, Medicaid, Truven/IBM, Optum, etc) and data from EHR for the purpose of research studies using RWD for medical/pharmaceutical research. The Data Analyst will primarily support strategic product value generation initiatives through statistical programming and analytics for prospective/retrospective observational and real-world evidence using large health care administrative databases, electronic medical records, and registries. The successful candidate will utilize SAS, and other programming languages (R, SPSS, STATA, SQL or other) to efficiently work with large real-world databases, to identify and discover target patient populations, disease prevalence and risk factors, describe drug utilization, treatment patterns and disease progression, and other comparative effectiveness questions. The candidate shall also provide advice and guidance on development of web-based analytics tools. The RWE Analyst will work closely within a cross-functional team to execute and deliver on projects in an accurate, effective and timely manner.