Senior Statistical Programmer

Role Overview: As a Senior Statistical Programmer at ProcDNA, you will leverage your advanced SAS and R programming skills along with proficiency in CDISC standards to support or lead one or more Clinical studies. You will be part of a passionate team that focuses on creating game-changing Commercial Analytics and Technology solutions for clients globally. Innovation is not just encouraged at ProcDNA, it is ingrained in our DNA. Key Responsibilities: - Having 6+ years of experience in SAS & R Programming - Hands-on experience with SDTM, ADAM, TLF including safety and efficacy analysis - Experience with CRF annotation, creation of datasets, and specs creation - Submission experience is a plus (define.xml, P21, ADRG, SDRG) - Able to lead 1 study under supervision - Demonstrates strong programming and domain expertise - Ability to execute a wide range of programming activities with minimal supervision - Identifying gaps in current programming best practices and offering suggestions - Ensuring adherence to standards and having an awareness of evolving industry standards - Developing an understanding of all applicable policies and procedures - Completing programming activities under supervision - Taking responsibility for timely completion of all assigned development tasks - Understanding and applying a basic knowledge of the industry Qualifications Required: - Experience working with RWD for use in pharmacoepidemiology research with practical knowledge in biostatistics applied to clinical/epidemiological research - Expertise in commonly used Real World Databases (Optum, Marketscan, Flatiron, JMDC, etc.) within the Real World landscape - Proficiency in R with expertise in other programming languages such as SQL or Python - Familiarity with AI/ML, data visualization, and reporting tools (Note: Additional details about the company are not provided in the job description),