For over 20 years, ProPharma Group has been a trusted partner in improving patient health by empowering biotech, medical device, and pharmaceutical companies. Through its advise-build-operate model, ProPharma supports clients across the entire product lifecycle, offering expertise in:
- Regulatory Sciences
- Clinical Research Solutions
- Quality & Compliance
- Pharmacovigilance
- Medical Information
- R&D Technology
ProPharma provides end-to-end consulting solutions that help de-risk and accelerate high-profile drug and device programs.
Job Description
As a Statistical Programmer, you will play a key role in supporting clinical trial data analysis, ensuring accuracy in statistical outputs, and collaborating with cross-functional teams.
Key Responsibilities:
✔ Provide statistical programming and validation for clinical trial datasets, tables, listings, and figures (TLFs).
✔ Convert and manage data from various formats (Excel, text files) into SAS datasets.
✔ Collaborate with external vendors to ensure proper dataset structure and content.
✔ Work closely with statisticians to generate and validate outputs for accuracy.
✔ Contribute to the development of SDTM and ADaM datasets (CDISC standards).
✔ Assist in creating validation plans and programming specifications.
Required Skills & Qualifications:
- Strong proficiency in SAS and/or R programming.
- Experience with CDISC standards (SDTM, ADaM).
- Knowledge of clinical trial data structures.
- Excellent communication and teamwork skills.
- Ability to work in a fast-paced, cross-functional environment.
Education & Experience:
- Bachelor’s degree in Statistics, Computer Science, Mathematics, or related field.
- 1+ years of relevant experience in statistical programming (clinical research preferred).
Why Join ProPharma?
✅ Inclusive Work Culture: We celebrate diversity and foster an environment where employees can thrive.
✅ Career Growth: Opportunities to work on high-impact projects in the pharma and biotech industry.
✅ Innovation-Driven: Be part of a team that accelerates scientific breakthroughs.