Statistical Consultant

JR United Kingdom; Belfast; Remote; GBP 80,000 - 120,000; Full time

Job summary

A leading company seeks a Statistical Science Associate Director to drive innovative statistical approaches in clinical studies. This remote role focuses on providing methodology support across various therapeutic divisions and requires a PhD in Statistics, with strong programming skills in R or SAS. The ideal candidate will demonstrate a proven track record in delivering statistical solutions and engaging collaboratively with diverse teams.

Qualifications

• Proven ability to deliver innovative statistical solutions in applied settings.
• Research record in statistical methodology with publications in top journals.
• Motivation to apply expertise to patient-benefiting problems.

Responsibilities

• Leading strategic projects that improve clinical trial design and analysis.
• Providing key insights and solutions during critical drug development stages.
• Developing new methodologies and engaging with external stakeholders.

Skills

Innovation in statistical solutions

Design of clinical studies

Real-time data analysis

Collaborative skills

Expertise in statistical methodology

Education

PhD in Statistics or related field

Tools

R

SAS

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 prioritizes science and transforms ideas into life-changing medicines?

At AstraZeneca, we put patients first and aim to meet their unmet needs worldwide by applying cutting-edge science across various areas. Working here means being entrepreneurial, thinking big, and collaborating to turn the impossible into reality. If you're proactive, confident in leadership, collaborative, and curious about science, you might be our ideal candidate.

We are seeking a contractor to join our Statistical Innovation group as a Statistical Science Associate Director. Our 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 strategies to work efficiently and creatively in bringing the right medicines to the right patients. Our teams utilize expertise in statistics and programming to address drug development challenges and reduce uncertainty, facilitating better business decisions through quantitative reasoning.

Main duties and responsibilities:

You will join a team of statistical methodology experts, providing key insights and solutions during critical stages of drug development. This involves engaging in technically challenging work within a dynamic landscape, focusing on pragmatic solutions delivered promptly, with refinement afterwards.

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

• Design of early and late-phase clinical studies, including group sequential and adaptive designs using both frequentist and Bayesian approaches.
• Methods for analyzing real-time data, Estimands, Missing Data, Subgroups, and Biomarkers.

You will also offer 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 a related field, with experience in academic research and/or clinical drug development.
• Proven ability to deliver innovative statistical solutions in applied settings, including design and analysis of clinical studies, real-time data analysis, Missing Data, Estimands, Subgroups, and Biomarkers.
• Strong programming skills in R and/or SAS.
• Excellent collaborative skills across global and diverse teams.
• Research record in statistical methodology, evidenced by publications in top statistical journals.
• Motivation to apply scientific expertise to practical, patient-benefiting problems.
• Knowledge of statistical methodologies related to safety data analysis, observational studies, meta-analyses, Bayesian methods, and non-linear/mixed effect models.
• Awareness of evolving scientific and regulatory issues in statistics.