Contract Statistical Programmer
Iovance Biotherapeutics · United States · US
Clinical Data Science
Remote
Not yet analysed
Demand78
Career growth72
Healthcare fit42
Remote potential90
Salary band
USD 70 – 80
5-year outlook
Contract statistical programming skills remain valuable in biotech and CROs, especially with CDISC and regulatory submission experience; AI and automation may change workflows but are unlikely to eliminate the need for validated programming. Exact compensation varies by contract, location, and experience.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-10-18
Intelligence details
Flexible work details
- Engagement type
- Contract
- Hours
- Variable hours
- Eligible countries
- United States
- Rate period
- Hourly
Why this was classified this way
- Contract
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only if you already have SAS/R, CDISC, and clinical trial programming experience; it is not a realistic entry point for most clinicians without that technical background.
Who should apply
Clinicians or healthcare graduates with biostatistics or clinical data science training and hands-on SAS/R plus CDISC or oncology trial experience, especially those targeting clinical research and data roles in biotech or CROs.
CV angle
Frame clinical research and oncology experience around data handling, protocol and CSR familiarity, regulatory documentation, quality control, and cross-functional collaboration; add concrete SAS/R programming projects, CDISC dataset or TLF examples, and any GxP or 21 CFR Part 11 exposure. Do not claim programming experience you do not have.
Skills to highlight
- SAS
- R
- CDISC SDTM/ADaM
- TLF generation
- Regulatory submissions
- GxP/21 CFR Part 11
- Quality control
- Oncology/cell therapy clinical trials
Role summary
Contract statistical programmer supporting clinical trials by developing and validating SAS/R programs for SDTM/ADaM datasets and TLFs, ensuring CDISC and GxP compliance for regulatory submissions and safety/CSR reporting.
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