Principal RWD Analyst, Statistical Programming (SAS)

Remote, 12-month contract, renewable
The principal RWD analyst will provide programming and analysis support for health economics outcomes research, commercial, and medical affairs by using statistical software (advanced programming capacity in SAS with R proficiency a plus) to perform data manipulation and conduct queries and analyses consistent with protocols and/or statistical analysis plans related to real world data studies.
Basic Qualifications

A master’s degree in health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the application of data science to healthcare data with 6+ years of hands-on programming experience; or a PhD with 3+ years of similar experience.
Must have hands-on RWD/RWE experience with data sources such as large-scale administrative claims data (e.g., MarketScan, Optum, Medicare LDS SAF, Komodo claims), and EHR
Advanced programming capacity in SAS with proficiency in R a plus
Hands on CDISC/SDTM/ADaM experience
Database programming using SQL
Assist in development of protocols/analysis plans
Proficiency with common statistical methods, such as survival analysis, generalized linear models, and propensity score matching
Experience with Machine Learning a plus
Pharmaceutical industry experience