Statistical Consultant

JR United Kingdom; Lincoln; Remote; GBP 65,000 - 90,000; Full time

Job summary

A leading company in pharmaceuticals seeks a Statistical Science Associate Director to join the Statistical Innovation group. The ideal candidate will have a PhD in Statistics, a strong background in clinical development, and the ability to deliver innovative statistical solutions. This remote position involves contributing to drug development through advanced statistical methodologies and collaboration with multidisciplinary teams, aiming to enhance efficiency and creativity in pharmaceutical research.

Qualifications

• Experience in academic research and/or clinical drug development.
• Proven ability to deliver innovative statistical solutions.
• Knowledge of statistical methodologies related to safety data analysis.

Responsibilities

• Provide key insights and solutions at critical stages of drug development.
• Contribute to or lead capability building in clinical study design.
• Engage with external scientists and regulators through publications and collaborations.

Skills

Programming skills in R

Programming skills in SAS

Collaborative skills

Education

PhD in Statistics or related discipline

Job description

Role: Statistical Science Associate Director – Statistical Innovation

Location: Remote

Duration: 12 months

Description

Do you have a passion for developing and implementing innovative statistical approaches in clinical studies? Are you ready to contribute to a company that transforms scientific ideas into life-changing medicines?

At AstraZeneca, we prioritize patients and aim to meet their unmet needs globally. We apply cutting-edge scientific methods across various business areas. Working here means being entrepreneurial, thinking big, and collaborating to turn the impossible into reality. If you are proactive, confident in leadership, collaborative, and curious about scientific advancements, you are our ideal candidate.

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

In this role, you will be part of the Respiratory Biometrics and Statistical Innovation department, utilizing data-driven approaches to enhance efficiency and creativity in bringing the right medicines to patients. Our team uses expertise in statistics and programming to address drug development challenges and reduce uncertainties, enabling better business decisions through quantitative reasoning.

Main duties and responsibilities

Joining a team of statistical methodology experts, you will provide key insights and solutions at critical stages of drug development. This work is technically challenging and dynamic, requiring pragmatic solutions delivered within tight timeframes, with refinement thereafter.

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 both frequentist and Bayesian approaches.
• Methods for analyzing real-time data, Estimands, Missing Data, Subgroups, and Biomarkers.

You will also provide expert consultancy to statisticians, medical scientists, and other stakeholders, leading strategic initiatives like capability building projects that improve clinical trial design and analysis. You will engage with external scientists and regulators through publications, presentations, and collaborations, proactively identifying new areas where Statistical Innovation can add value. Building relationships with the external scientific community will be a key focus.

Requirements:

• PhD in Statistics or a related discipline, with experience in academic research and/or clinical drug development.
• Proven ability to deliver innovative statistical solutions in applied environments, including areas like clinical study design, real-time data analysis, Missing Data, Estimands, Subgroups, and Biomarkers.
• Strong programming skills in R and/or SAS.
• Excellent collaborative skills across global and multidisciplinary teams.
• A track record of research and methodological development supported by publications in top statistical journals.
• Passion for applying scientific expertise to practical problems benefiting patients.
• Knowledge or research experience in statistical methodologies related to safety data analysis, observational studies, meta-analysis, Bayesian methods, and non-linear/mixed effects models.
• Awareness of evolving scientific and regulatory statistical issues.