Senior Statistician I (UK)

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

Job summary

A leading recruitment platform is seeking a Senior Statistician I in the United Kingdom, responsible for statistical analysis and reporting for clinical trials. The ideal candidate will have a PhD or MSc in Biostatistics and strong programming skills in SAS and/or R. This remote position emphasizes collaboration, mentorship, and adherence to regulatory standards, offering flexible hours and career development opportunities.

Benefits

Remote working options

Flexibility in working hours

Career development and mentorship

Supportive team culture

Exposure to cutting-edge research

Qualifications

• Experience in the pharmaceutical or clinical research industry.
• Familiarity with clinical trial design and implementation.
• Knowledge of CDISC standards and clinical data management practices.

Responsibilities

• Perform statistical analyses for assigned clinical studies.
• Contribute to the preparation of statistical deliverables.
• Lead programming tasks using SAS and/or R.

Skills

Programming skills in SAS

Programming skills in R

Statistical modeling

Exploratory data analysis

Communication skills

Organizational skills

Education

PhD or MSc in Biostatistics or a related discipline

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Statistician I in the United Kingdom.

In this role, you will contribute to the design, analysis, and reporting of clinical studies, supporting early-phase and ongoing trials. You will collaborate with cross-functional teams to deliver high‑quality statistical outputs while adhering to timelines and regulatory requirements. The position emphasizes both hands‑on programming and methodological expertise, providing opportunities to lead aspects of statistical deliverables and mentor colleagues. You will work with global teams, supporting the full lifecycle of clinical trials, from exploratory analysis to advanced modeling. The role requires proficiency in SAS and/or R, a strong understanding of clinical study design, and familiarity with regulatory standards. Your work will directly impact the quality and reliability of study results, helping accelerate decision‑making and patient‑focused outcomes.

Accountabilities

• Perform statistical analyses for assigned clinical studies, ensuring accuracy, consistency, and adherence to timelines.
• Contribute to the preparation of statistical components of deliverables, including reports, tables, figures, and datasets.
• Lead or support programming tasks using SAS and/or R, including ad hoc requests and study‑specific analyses.
• Apply advanced statistical methodologies, such as mixed/repeated measure models and Bayesian models, as appropriate.
• Collaborate with team members and cross‑functional stakeholders to ensure alignment on study design and analytical plans.
• Participate in internal knowledge sharing, mentoring junior statisticians, and promoting best practices.
• Maintain compliance with GCP, CDISC standards, and relevant regulatory requirements.

Qualifications

• PhD or MSc in Biostatistics or a related discipline.
• Proven experience in the pharmaceutical or clinical research industry with awareness of clinical trial design and implementation.
• Strong programming skills in SAS and/or R.
• Experience with CDISC standards and clinical data management practices.
• Ability to perform exploratory data analysis, visualization, and statistical modeling.
• Knowledge of early‑phase studies, such as first‑in‑human, single/multiple ascending dose, proof‑of‑concept, and clinical pharmacology studies.
• Excellent communication skills to convey complex statistical concepts to both technical and non‑technical stakeholders.
• Strong organisational skills, attention to detail, and ability to work independently and collaboratively in a remote or hybrid environment.

Benefits

• Remote working options and flexible working hours.
• Career development, mentorship, and opportunities for continuous learning.
• Supportive, collaborative, and inclusive team culture.
• Commitment to sustainability, ethical governance, and ESG initiatives.
• Exposure to cutting‑edge biometrics, data science, and pharmaceutical research.
• Opportunities to work on impactful clinical studies, accelerating drug development and patient outcomes.