Statistical Consultant

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

Job summary

A leading company in the pharmaceutical sector seeks a Statistical Science Associate Director for its Statistical Innovation group in Watford. This role involves providing statistical methodology support for clinical development, contributing to innovative drug solutions, and engaging with stakeholders. Candidates should hold a PhD in Statistics and demonstrate strong programming skills alongside an ability to deliver pragmatic solutions efficiently.

Qualifications

• Experience in academic research or clinical drug development.
• Ability to deliver innovative statistical methodologies.
• Experience with Bayesian methods, safety data, and observational studies.

Responsibilities

• Provide statistical methodology support in drug development.
• Lead capability building in clinical study design.
• Engage with external scientists and regulators.

Skills

Innovative statistical solutions

Collaborative work

R programming

SAS programming

Education

PhD in Statistics or related discipline

Job description

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Statistical Consultant, Watford, Hertfordshire

Client:

Location:

Watford, Hertfordshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

Job Views:

4

Posted:

04.06.2025

Expiry Date:

19.07.2025

Job Description:

Role: Statistical Science Associate Director – Statistical Innovation

Location: Remote

Duration: 12 months

Description

Are you passionate about developing 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. We apply cutting-edge science across various business areas. Working here means being entrepreneurial, thinking big, and collaborating to make the impossible possible. If you are proactive, confident, collaborative, and curious about science, you are our ideal candidate.

We are hiring a contractor for 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 divisions, including Cardiovascular, Renal & Metabolism, Respiratory & Immunology, Oncology, Rare Diseases, and Vaccines.

In this role, you will join the Respiratory Biometrics and Statistical Innovation department, leveraging data-driven approaches to efficiently develop medicines for the right patients. Our team uses expertise in statistics and programming to address drug development challenges and reduce uncertainty, enabling better business decisions with quantitative reasoning.

Main duties and responsibilities

You will be part of a team of statistical methodology experts, providing key input and solutions during critical drug development stages. Your work will be technically challenging and dynamic, with an emphasis on pragmatic solutions delivered promptly, then refined 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 both frequentist and Bayesian methods.
• Analysis methods for real-time data, estimands, missing data, subgroups, 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 identifying new areas where statistical innovation adds value.

Requirements:

• PhD in Statistics or a 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 study design, real-time data analysis, missing data, estimands, subgroups, and biomarkers.
• Strong programming skills in R and/or SAS.
• Experience working collaboratively across global teams.
• A track record of research and methodological development supported by publications in top statistical journals.
• A desire to apply scientific expertise to benefit patients.
• Knowledge or research 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.