About ProcDNA

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA.

What We Are Looking For

As a Senior Statistical Programmer, you will leverage your advanced SAS /R programming skills and proficiency in CDISC standards (SDTM , ADaM, TLF with both safety and efficacy analysis) to support or lead one or more Clinical study.

Must Have

Having 6+ years of experience in SAS & R Programming
Hands-on experience with SDTM, ADAM, TLF with both 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
Able to demonstrates strong programming and domain expertise
Having ability to execute a wide range of programming activities with minimal supervision.
Able to identify gaps in current programming best practices and may offer suggestions
Able to ensure adherence to standards and has an awareness of evolving industry standards
Develop understanding of all applicable policies and procedures
Completes programming activities under supervision
Takes responsibility for timely completion of all assigned development task
Understands and applies a basic knowledge of industry

Additional Skills

Experience working with RWD for use in pharmacoepidemiology research with good practical knowledge in biostatistics applied to clinical/epidemiological research.
Expertise in some of the most commonly used Real World Databases (Optum, Marketscan, Flatiron, JMDC etc) within Real World landscape Expertise in R with proficiency in other programming languages such as SQL, or Python.
Familiarity with AI/ML, data visualization and reporting tools.

Skills: sas,sdtm,tlf,r programming,crf annotation,adam