Principal Statistical Programmer FSP - Oncology
Posted about 11 hours ago
As a Principal Statistical Programmer, your responsibilities will include:
- Generate SDTM, ADaM specifications, datasets, reviewer’s guide and define.xml files for multiple studies
- Develop SAS programs which generate datasets, complex listings, tables (including those with descriptive and standard inferential statistics in collaboration with a Statistician), and complex graphs
- Deliver high-quality statistical programming results including developing, validating, and maintaining SAS and/or R programs tailored to clinical development programs’ needs
- Participate in overseeing CRO’s statistical programming deliverables for multiple clinical studies to ensure high-quality and meet the pre-specified timelines
- Support the preparation of clinical study reports, regulatory submissions, publications, annual DSUR, and exploratory analyses
- Understand and follow FDA regulations which affect the reporting of clinical trial data. This includes good clinical practice and guidelines for electronic submissions.
- Contribute to the creation, maintenance, documentation, and validation of standards for programming tools, outputs, and macros
- Participate in the development of CRFs, edit check specifications, and data validation plans
- Provide review and/or author data transfer specifications for external vendor data
- Collaborate with internal and external functions (e.g. CROs, software vendors, clinical development partners, etc.) to ensure meeting project timelines and goals
- Provide review and/or author SOPs and/or Work Instructions related to statistical programming practices
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
- At a minimum bachelor’s degree in computer science, data science, mathematics, or statistics major preferred
- 7+ years of experience as a Statistical Programmer on a Biotech/Pharma Clinical Development Biometrics Team or with a similar team and experience supporting drug development, medical device development, or intervention studies
- Experience in oncology endpoints and analyses
- Exceptional SAS programming skills and expertise in the development and implementation of statistical programming procedures and processes in a clinical development environment
- Extensive applied experience of CDISC standards (SDTM, ADaM, and Define.xml), medical terminology, clinical trial methodologies, and FDA/ICH regulation
- Experience supporting regulatory submissions, interacting with the FDA and/or global regulatory authorities
- Must be able to work independently
- Outstanding communication skills (written and verbal) and strong leadership skills
- Proficiency in languages or tools other than SAS (e.g., R, Python, and Java, Shiny, Markdown, Unix/Linux and git)
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Cytel is the world’s leading data-science CRO, driving advancements in human health through robust analytics and innovative clinical trial software. For nearly four decades, we have set the standard in adaptive trial design, leveraging extensive data insights to inform strategy throughout every phase of drug development and commercialization. Our mission is clear: accelerate drug development, enhance success rates, and deliver better patient outcomes. With a comprehensive suite of services from innovative trial design to end-to-end biometrics and real-world evidence, our specialized, multidisciplinary team ensures optimal strategies for preclinical research, trial execution, market access, and reimbursement. Headquartered in Cambridge, Massachusetts, Cytel has a global presence with over 2,000 employees across North America, Europe, and Asia. Learn more about how Cytel is harnessing the power of data to advance human health at www.cytel.com.
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