
Senior/Principal Statistical Programmer, FSP, SAS, R
Posted Aug 7

Posted Aug 7
This is a fully remote position, open to applicants in Poland, +4 more countries.
• Create specifications for SDTM and ADaM, datasets, review guides, and Define.xml files for various studies.
• Design SAS programs to produce datasets, intricate listings, tables, descriptive and inferential statistics, and advanced graphs.
• Develop, validate, and sustain SAS and/or R programs for clinical development initiatives.
• Manage CRO statistical programming outputs across numerous clinical trials.
• Assist with clinical study reports, regulatory submissions, publications, annual DSURs, and exploratory analyses.
• Adhere to FDA regulations, good clinical practices, and electronic submission standards.
• Develop, maintain, document, and validate programming tools, outputs, macros, and standards.
• Engage in CRF development, edit check specifications, and data validation strategies.
• Review or create data transfer specifications for external vendor data.
• Collaborate with CROs, software vendors, clinical development partners, and internal teams to achieve timelines and objectives.
• Review or draft SOPs and work instructions pertaining to statistical programming.
• A minimum of a bachelor’s degree in computer science, data science, mathematics, or statistics; a major in statistics is preferred.
• Over 7 years of experience as a Statistical Programmer within a Biotech/Pharma Clinical Development Biometrics Team or a comparable team.
• Experience in supporting drug development, medical device development, or intervention studies.
• Exceptional SAS programming skills and proficiency in developing and executing statistical programming procedures and processes in a clinical development context.
• Practical experience in R programming.
• Extensive hands-on experience with CDISC standards, including SDTM, ADaM, and Define.xml.
• Familiarity with medical terminology, clinical trial methodologies, and FDA/ICH regulations.
• Experience in supporting regulatory submissions and engaging with the FDA and/or global regulatory agencies.
• Capacity to work independently.
• Excellent written and verbal communication skills, along with strong leadership abilities.
• Preferred: experience with pharmacokinetic data and neuroscience.
• Preferred: proficiency in additional tools or languages such as Python, Java, Shiny, Markdown, Unix/Linux, and git.
• Ongoing training, development, and support.
• Substantial opportunities for professional growth.
• Cytel support while fully integrated within a pharmaceutical client.
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