Senior Statistical Programmer
8 hours ago
At Lifelancer, we're on a mission to revolutionize the way talent meets opportunity in the life sciences, pharma, and IT industries. As a Principal Statistical SAS Programmer, you'll be at the forefront of this movement, driving innovation and excellence in clinical trials programming.
About the RoleWe're seeking a highly skilled and experienced Principal Statistical SAS Programmer to join our team. As a key member of our sponsor-dedicated Flexible Solutions business unit, you'll be responsible for overseeing complex projects, collaborating with cross-functional teams, and ensuring the highest quality deliverables.
Main Responsibilities- Plan, execute, and oversee all programming activities on a study, including resource estimation, budget management, timeline adherence, and quality maximization.
- Oversee SDTM, ADaM, and TLF development, perform senior review of outputs, and ensure compliance with CDISC requirements.
- Liaise with other sponsor departments for additional programming needs, support publications, medical writing, and additional development needs and analyses.
- Support/oversee submission activities, especially in late-phase teams, and ensure all activities are conducted efficiently with appropriate set-up of needed tools and macros.
- Mentor less-experienced team members in best practices around SDTMs, ADaMs, and TFLs while ensuring adherence to department standards and processes.
- Ideal candidate has a degree in a relevant field such as mathematics, life sciences, statistics, computer sciences, etc.
- In lieu of the above, professional experience in statistical programming within clinical trials in a biotech, CRO, or pharmaceutical company.
- Solid experience with complex clinical trials (minimum 5 years) and the corresponding datasets content (safety and efficacy) and endpoints.
- Ideal candidate has knowledge in all aspects of clinical trials, from initial study set-up to study completion, with an understanding of the roles and responsibilities of all related disciplines, e.g., Biostatistics and Clinical Data Management.
- Expert knowledge of base SAS, SAS macros, SAS/STAT, and debugging SAS programs.
- Broad knowledge of all CDISC requirements related to SDTM and ADaM, including Reviewer's Guides and submission standards.
- An autonomous, collaborative work style, a curious mind, and a keen attention to detail.
We offer a rewarding and meaningful work environment, highly competitive compensation packages, a genuine work-life balance, flexibility in working hours, thorough onboarding, and excellent training and career development opportunities.
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