Lead Statistical Programmer - Sponsor Dedicated

Jobgether; United Kingdom; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading analytics firm in the United Kingdom is seeking a Lead Statistical Programmer to oversee programming and delivery of clinical study datasets for pharmaceutical trials. This role involves coordinating activities across teams, mentoring junior programmers, and ensuring quality results. Candidates should have 5+ years of relevant experience and expertise in SAS and CDISC standards. The position offers remote working flexibility and opportunities for professional growth.

Benefits

Competitive salary

Flexible remote working options

Professional development opportunities

Qualifications

• Minimum 5 years of experience with complex clinical trials.
• Prior experience in a lead programming role is preferred.
• Comprehensive knowledge of clinical trial processes.

Responsibilities

• Plan and oversee all programming activities for clinical studies.
• Supervise the development of SDTM, ADaM, and TLF datasets.
• Lead submission activities, ensuring compliance with regulatory standards.

Skills

Attention to detail

Strong technical expertise

Collaborative work style

Communication skills in English

Education

Degree in mathematics, life sciences, statistics, or computer sciences

Tools

Base SAS

SAS macros

SAS/STAT

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Statistical Programmer - Sponsor Dedicated in the United Kingdom.

In this role, you will take a leading position in the programming and delivery of complex clinical study datasets and statistical outputs for global pharmaceutical trials. You will oversee SDTM, ADaM, and TLF development, ensuring high-quality results while mentoring junior team members. Working closely with cross-functional teams such as Clinical, Medical Writing, Safety, and Biometrics, you will coordinate programming activities, manage resources, and contribute to submission activities. This position offers flexibility to work remotely across EMEA or from a local office and provides opportunities to influence study processes and standards. Attention to detail, strong technical expertise, and the ability to work collaboratively in a fast-paced environment are key for success in this impactful role.

Accountabilities

• Plan, execute, and oversee all programming activities for clinical studies, including resource estimation, budgeting, timeline management, and quality assurance.
• Supervise the development of SDTM, ADaM, and TLF datasets and perform senior reviews of outputs.
• Collaborate with cross-functional teams to support additional programming needs for publications, medical writing, and other analyses.
• Lead and support submission activities, ensuring compliance with regulatory standards and data submission requirements.
• Set up programming tools and macros to maximize efficiency while maintaining the highest quality standards.
• Mentor junior programmers on best practices for SDTM, ADaM, and TLF development and adherence to department standards.

Requirements

• Degree in mathematics, life sciences, statistics, computer sciences, or equivalent professional experience in statistical programming within clinical trials.
• Minimum 5 years of experience with complex clinical trials and associated datasets, including safety and efficacy endpoints.
• Prior experience in a lead programming role is preferred.
• Comprehensive knowledge of clinical trial processes, including study setup, data management, and biostatistics.
• Expert knowledge of Base SAS, SAS macros, SAS/STAT, and debugging techniques.
• Broad understanding of CDISC standards, including SDTM, ADaM, define.xml, Reviewer's Guides, and submission requirements.
• Strong analytical, collaborative, and detail-oriented work style.
• Excellent communication skills in English, both verbal and written.

Benefits

• Competitive salary and comprehensive benefits package.
• Flexible remote working options across EMEA or from local offices.
• Opportunities for professional development and mentoring.
• Exposure to global clinical trials and cross-functional collaboration.
• Chance to contribute to impactful projects in the pharmaceutical industry.
• Supportive work environment fostering autonomy and career growth.