Senior Statistical Programmer - Biometrics UK

MMS Holdings Inc; Remote; GBP 50,000 - GBP 70,000; Full time

Job summary

A leading clinical research organization is seeking a Senior Statistical Programmer to generate data visualizations for clinical trials and lead programming projects. You will need a Master's degree and at least 5 years of experience in Statistical Programming. The ideal candidate has advanced knowledge of SAS programming, statistical standards, and regulatory requirements. This opportunity offers a chance to work in a collaborative environment and significant career advancement potential.

Qualifications

• Masters required for all Statistics roles.
• Minimum of 5 years’ experience in Statistical Programming or similar field.
• Expert knowledge of scientific principles and concepts.
• Excellent problem-solving skills and good communication.

Responsibilities

• Generate tables, listings, and graphs from clinical trial databases.
• Lead study or small programming project teams.
• Utilize SDLC for programming deliverables.

Skills

SAS programming

SDTM standards

ADaM standards

Statistical Programming

MS Office applications

Regulatory Standards knowledge

Education

Master's degree in Statistics

Tools

SAS Base

SAS Macros

Job description

Senior Statistical Programmer

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is an award‑winning, data‑focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry‑leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.

Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.

Job Specific Skills

• Mastery and trained ongenerating tables, listings, and graphs from clinical trial databases using SAS.
• Utilizes System Development Life Cycle (SDLC) for programming deliverables.
• Advanced user in SAS programming, SAS Base, and SAS Macros.
• Advanced knowledge of E-Submission Standards, Guidelines and Regulations.
• Mastery and trained on SDTM standards including ability to write specifications.
• Advanced knowledge of ADaM standards including supporting specification writing.
• Proficient with MS Office applications.
• Advanced knowledge of ICH, 21CRF Part 11, and ISO 9001:2000 requirements.
• Advanced experience with pooling of data sets for submissions.
• Advanced experience with BIMO outputs, define.xml, Reviewer's Guides, SDSP.
• Lead study or small programming project teams.

Job Requirements

• Masters required for all Statistics roles.
• Minimum of 5 years’ experience in Statistical Programming or similar field required.
• Expert knowledge of scientific principles and concepts.
• Reputation as emerging leader in field with sustained performance and accomplishment.
• Proficiency with MS Office applications.
• Hands‑on experience with clinical trial and pharmaceutical development preferred.
• Good communication skills and willingness to work with others to clearly understand needs and solve problems.
• Excellent problem‑solving skills.
• Good organizational and communication skills.
• Familiarity with current ISO 9001 and ISO 27001 standards preferred.
• Familiarity with 21 CFR Part 11, FDA, and GCP requirements.
• Basic understanding of CROs and scientific & clinical data/terminology, & the drug development process.

Should you not have received a response within 14 days of your application, please consider your application unsuccessful.