Senior Statistical Programmer
- Compensation
- Not disclosed
- Location
- Santa Clara, California, United States of America
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Internship
- Experience
- 5+ years
- Category
- Not specified
- Posted
Skills
Must have
- • Bachelor’s degree or higher in Statistics, Computer Science, Mathematics, Life Sciences, or a related discipline.
- • 5+ years of experience in statistical programming within the pharmaceutical, biotechnology, or medical device industry.
- • Proficient in SAS programming (Base, Macro, SQL), with exposure to SAS Graph and Stat procedures; experience with R or data visualization is a plus.
- • Understanding of clinical trial design, GxP principles, and FDA/EMA regulatory requirements, particularly for medical device submissions such as PMA and 510(k).
- • Familiarity with CDISC standards (SDTM, ADaM); ability to implement standardized datasets in line with internal and industry guidelines.
- • Strong attention to detail, problem-solving mindset, and ability to work independently or in a team environment.
- • Effective communication skills and a collaborative approach to working with cross-functional and cross-organizational teams.
- For Pay info on Fully remote roles :
- US: $92,000 - $148,350 / Bay Area: $106,000 - $170,200
- Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity
- Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, plea
Nice to have
- The anticipated base pay range for this position is :
- Additional Description for Pay Transparency:
Full description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
BiostatisticsJob Category:
Scientific/TechnologyAll Job Posting Locations:
Santa Clara, California, United States of AmericaJob Description:
Johnson & Johnson is hiring for a Senior Statistical Programmer – J&J MedTech Circulatory Restoration Portfolio/Solutions to join our team. The position is FULLY REMOTE and can sit anywhere in the US.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at
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Position Overview
The Statistical Programmer supports the Biostatistics team in the generation and validation of analysis datasets and statistical outputs for clinical trials. This role is key to implementing programming standards and supporting the standardization of CDISC-compliant datasets (e.g., SDTM, ADaM) across clinical programs. The ideal candidate is a detail-oriented statistical programmer with a strong interest in clinical data analysis, regulatory processes (such as PMA or 510(k) submissions), and continual learning in a regulated environment.