Senior Statistical Programmer FSP

Cytel Inc; City of Westminster; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading pharmaceutical consulting firm is seeking a Senior Statistical Programmer to join their team in the UK. In this role, you will utilize your SAS programming and CDISC standards proficiency to support clinical trials, ensuring high-quality data analysis and reporting. The position offers flexibility, as it can be performed remotely. A strong background in the Pharmaceutical industry with at least 8 years of experience is preferred.

Qualifications

• At least 8 years of SAS programming experience in the Pharmaceutical & Biotech industry.
• Study lead experience, managing multiple projects concurrently.
• Strong QC and validation skills.

Responsibilities

• Perform data manipulation, analysis, and reporting of clinical trial data.
• Generate and validate SDTM and ADaM datasets and TLFs.
• Communicate with internal teams and clients for project specifications.

Skills

SAS programming

CDISC standards (SDTM & ADaM)

Data analysis

Efficacy analysis

Ad-hoc reporting

Education

Bachelor's degree in Statistics, Computer Science, or Mathematics

Job description

Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials. This role can be performed as fully remote. Our values

• We believe in applying scientific rigor to reveal the full promise inherent in data.
• We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.
• We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
• We prize innovation and seek intelligent solutions using leading-edge technology.

Responsibilities

• Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming
• Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs)
• Production and QC / validation programming
• Generating complex ad-hoc reports utilizing raw data
• Applying strong understanding/experience of Efficacy analysis
• Creating and reviewing submission documents and eCRTs
• Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries
• Performing lead duties when called upon
• Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.

Qualifications

• Bachelor's degree in one of the following fields: Statistics, Computer Science, Mathematics, etc.
• At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor's degree or equivalent. At least 6 years of related experience with a master's degree or above.
• Study lead experience, preferably juggling multiple projects simultaneously.
• Strong SAS data manipulation, analysis and reporting skills.
• Solid experience implementing the latest CDISC SDTM / ADaM standards.
• Strong QC / validation skills.
• Good ad-hoc reporting skills.
• Proficiency in Efficacy analysis.
• Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials' data.
• Submissions experience utilizing define.xml and other submission documents.
• Experience supporting immunology, respiratory or oncology studies would be a plus.
• Excellent analytical & troubleshooting skills.
• Ability to provide quality output and deliverables, in adherence with challenging timelines.
• Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.
• Ability to be adaptable and flexible when priorities change.