Statistical Consultant

JR United Kingdom; Manchester; Remote; GBP 70,000 - 100,000; Full time

Job summary

A leading company in the biopharmaceutical sector seeks a Statistical Science Associate Director for Statistical Innovation. In this remote role, you'll manage statistical methodologies for clinical studies, design trials, and offer expert consultancy, contributing significantly to drug development. Ideal candidates will hold a PhD in Statistics and demonstrate strong programming skills in R/SAS.

Qualifications

• PhD in Statistics or related discipline with clinical development experience.
• Proven ability to deliver innovative statistical solutions.
• Strong programming skills in R and/or SAS.

Responsibilities

• Design early and late-phase clinical studies using statistical methodologies.
• Provide expert consultancy and innovative solutions for clinical trial analysis.
• Engage with external scientists and regulatory bodies through publications and collaborations.

Skills

Statistical solutions

Collaboration

Programming in R and SAS

Innovative statistical methodologies

Clinical trial design

Education

PhD in Statistics or related discipline

Job description

Role: Statistical Science Associate Director – Statistical Innovation

Location: Remote

Duration: 12 months

Description

Are you passionate about developing and implementing innovative statistical approaches in clinical studies? Do you want to impact a company that transforms ideas into life-changing medicines?

At AstraZeneca, we prioritize patients and strive to meet their unmet needs worldwide by applying cutting-edge science across various business areas. We value entrepreneurial spirit, big thinking, collaboration, and curiosity about scientific possibilities. If you're proactive, confident in leadership, collaborative, and curious about science, you are our ideal candidate.

We are seeking a contractor to join our growing Statistical Innovation group as a Statistical Science Associate Director. Our primary focus is providing statistical methodology support across all phases of clinical development for AZ’s Cardiovascular, Renal & Metabolism, Respiratory & Immunology divisions, with targeted support for Oncology, Rare Diseases, and Vaccines.

In this role, you will be part of the Respiratory Biometrics and Statistical Innovation department, leveraging data-driven approaches to work efficiently and creatively, bringing the right medicines to the right patients. Our team uses expertise in statistics and programming to address drug development objectives and reduce uncertainty, enabling better business decisions through quantitative reasoning.

Main duties and responsibilities

You will join a team of statistical methodology experts, providing key input and solutions at critical stages in the drug development cycle. This exciting and technically challenging work requires delivering pragmatic solutions quickly, then refining them over time.

You will contribute to or lead capability building in areas such as:

• Design of early and late-phase clinical studies, including group sequential and adaptive designs using frequentist and Bayesian approaches.
• Methods to analyze real-time collected data, Estimands, Missing Data, Subgroup analyses, and Biomarkers.

You will also provide expert consultancy to statisticians, medical scientists, and other stakeholders, leading strategic projects that improve clinical trial design and analysis. This includes developing new methodologies, engaging with external scientists and regulators through publications and collaborations, and proactively identifying new areas where Statistical Innovation can add value.

Requirements

• PhD in Statistics or related discipline, with experience in academic research or clinical drug development.
• Proven ability to deliver innovative statistical solutions in applied settings, including early and late-phase clinical trial design, real-time data analysis, Missing Data, Estimands, Subgroups, and Biomarkers.
• Strong programming skills in R and/or SAS.
• Ability to work collaboratively across global teams.
• Research record supported by publications in top statistical journals.
• Desire to apply scientific expertise to practical problems benefiting patients.
• Knowledge or experience in safety data analysis, observational studies, meta-analysis, Bayesian methods, and non-linear/mixed effect models.
• Awareness of evolving scientific and regulatory statistical issues.