Principal Statistical Programmer

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🇺🇸 United States – Remote

⏰ Full Time

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🖥 Software Engineer

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Clinical Outcomes Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• Our commitment to developing our staff is only surpassed by our commitment to advancing treatment options available to patients. At Cytel, we work hard to create successful careers with significant professional growth for our employees and as a result work hard to make Cytel successful. Cytel is a place where talent, experience, and integrity come together to advance the state of clinical development.