Statistical Consultant

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

Job summary

A leading company is seeking a Statistical Science Associate Director to develop innovative statistical methodologies for clinical studies. This remote contract role lasts for 12 months and aims to enhance drug development processes using advanced statistical techniques and collaborations with various departments. The ideal candidate will possess a PhD in Statistics, strong programming skills in R/SAS, and a proven track record in clinical research.

Qualifications

• Experience in clinical drug development.
• Proven ability to deliver innovative statistical solutions.
• Research track record with publications in top statistical journals.

Responsibilities

• Design early and late-phase clinical studies using advanced statistical methods.
• Engage in strategy leading regarding clinical trial design and analysis.
• Provide consultancy to cross-functional teams on statistical methodologies.

Skills

Statistical methodology

Programming in R

Programming in SAS

Collaborative work

Education

PhD in Statistics or related field

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 impact a company that transforms ideas into life-changing medicines?

At AstraZeneca, we prioritize patients and strive to meet their unmet needs worldwide, applying cutting-edge scientific approaches across various business areas. Working here means being entrepreneurial, thinking big, collaborating, and being curious about the potential of science.

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 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, leveraging data-driven approaches to efficiently bring the right medicines to the right patients. Our team uses statistical expertise and programming to address drug development challenges and support better business decisions.

Main duties and responsibilities:

You will work with a team of statistical methodology experts to find solutions at critical stages of drug development. The work is technically challenging and dynamic, requiring pragmatic solutions delivered promptly, with refinement afterward.

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 methods.
• Analysis of real-time collected 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. Additionally, you will engage in methodology development, external collaborations, publications, and presentations, proactively seeking new areas where Statistical Innovation can add value.

Requirements:

• PhD in Statistics or a related field, with experience in academic research or clinical drug development.
• Proven ability to deliver innovative statistical solutions in areas such as clinical study design, real-time data analysis, Missing Data, Estimands, Subgroups, and Biomarkers.
• Strong programming skills in R and/or SAS.
• Experience in collaborative, cross-functional work.
• Research track record with publications in top statistical journals.
• Desire to apply scientific expertise to practical, patient-benefiting problems.
• Knowledge in statistical methodology related to safety data analysis, observational studies, meta-analysis, Bayesian methods, non-linear, and mixed-effects models.
• Awareness of evolving scientific and regulatory issues in statistics.