Senior Statistician I (UK)

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.

Requirements

 • 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 organizational 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.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

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