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
- 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
- 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
- Prior work experience with pharmacokinetic data and the neuroscience field,
- proficiency in languages or tools other than SAS (e.g., R, Python, and Java, Shiny, Markdown, Unix/Linux and git)
Top Skills
What We Do
Cytel enables decision-makers in the life sciences to unlock the full potential of their products. From navigating uncertainty to proving value, Cytel’s 30 years of global expertise in consulting, data-driven analytics, and industry-leading software helps biotech and pharmaceutical companies transform intelligence into confident decisions. We have an uncompromising commitment to scientific rigor and high standards of operational excellence, which are channeled through our locations in North America, Europe, the United Kingdom, and Asia. Together, we enable our clients to deliver the therapies that propel humanity forward. Cytel employs a range of data science tools from biostatistics to machine learning to help executives in the life-sciences to make confident decisions powered by data. We are probably best known for being leaders in the field of adaptive clinical trial design, a subset of trial design that uses interim looks to enhance the patient safety and commercial value of pharmaceutical products. We also have specialists in Bayesian statistics, real world evidence, artificial intelligence, health economics, and a number of other research fields to ensure that academic and scientific findings can have impact on industry quickly and seamlessly. www.cytel.com
