Lead Statistical SAS Programmer - Sponsor Dedicated (FSP)

SureGuard; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in the pharmaceutical sector seeks a Lead Statistical Programmer for their sponsor-dedicated unit. This position, which can be fully remote, involves overseeing complex clinical trials, ensuring quality programming activities, and mentoring less-experienced team members. Ideal candidates will have a strong background in statistical programming, particularly in SAS, and a minimum of 5 years of experience in the biotech or pharmaceutical industry.

Qualifications

• Minimum 5 years of experience in statistical programming within clinical trials.
• Previous Lead experience preferred.
• Expert knowledge of base SAS and CDISC requirements.

Responsibilities

• Plan, execute and oversee all programming activities on a study.
• Oversee SDTM, ADaM and TLF development, perform Senior Review.
• Mentor less-experienced team members around SDTMs, ADaMs and TFLs.

Skills

Collaboration

Attention to detail

Statistical programming

Debugging SAS programs

Education

Degree in mathematics, life sciences, statistics, computer sciences, etc.

Tools

SAS

Job description

As a Lead Statistical Programmer in our sponsor-dedicated Flexible Solutions business unit, you are central to the successful delivery of complex projects for a renowned, innovative and global top pharmaceutical company. Our sponsor is looking for Lead Statistical Programmers capable of overseeing studies from the Pharma side.

You will be involved in liaising with the entire study team as needed, including Clinical, Medical Writing, Safety and Biometrics. This may be for either/or in-house programmed or out-sourced studies in either their Early or Late Phase team. It is a great opportunity to see more how this works from a Big Pharma perspective, whilst still being part of a global CRO with opportunity for future career growth.

The decision you make today, could change the future of our patients tomorrow. Join us at Fortrea.

You can be 100% home-based in EMEA or, if you prefer, you can work from our local office in your home country.

Your Responsibilities:

• Plan, execute and oversee all programming activities on a study, including but not limited to: resource estimation, working within budget, meeting timelines, maximizing quality, interaction with other departments, etc.
• Oversee SDTM, ADaM and TLF development, perform Senior Review of outputs
• Liaise with other Sponsor departments for additional programming needs, as required to support publications, medical writing and additional development needs and analyses
• Support/oversee submission activities (especially in late phase team)
• Ensure all activities are conducted efficiently, with appropriate set-up of needed tools and macros, prioritizing quality at all times
• Mentor less-experienced team members in best practices around SDTMs, ADaMs and TFLs while ensuring adherence to department standards and processes

Your Profile:

• Ideally, 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
• Previous Lead experience preferred
• Ideally you will have 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 in debugging SAS programs
• Broad knowledge of all CDISC requirements related to SDTM and ADaM, including define.xml, Reviewer's Guides and submission standards
• An autonomous, collaborative work style, a curious mind and a keen attention to detail
• Fluency in English – both verbal and written – is a must

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