Statistical Consultant

JR United Kingdom; Bradford; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading company in biomedicine seeks a Statistical Science Associate Director to develop innovative statistical methodologies for clinical studies. This 12-month remote role involves collaboration with experts, addressing statistical challenges in drug development, and enhancing clinical trial designs.

Qualifications

• Experience in clinical drug development and academic research.
• Ability to deliver innovative statistical solutions in applied settings.
• Research record supported by publications in reputable statistical journals.

Responsibilities

• Lead the design of early and late-phase clinical studies using statistical approaches.
• Provide consultancy on trial design and analysis to stakeholders.
• Identify new areas for Statistical Innovation and foster relationships with external communities.

Skills

Statistical methodology

Programming in R

Programming in SAS

Clinical trial design

Analytical thinking

Collaborative skills

Research expertise

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. 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 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, along 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 in bringing the right medicines to the right patients. Our team employs expertise in statistics and programming to address drug development challenges and reduce uncertainties, enabling better business decisions through quantitative reasoning.

Main duties and responsibilities:

You will join a team of statistical methodology experts, providing key insights to solve problems at critical stages of drug development. This involves technically challenging work in a dynamic landscape, focusing 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 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, influencing clinical trial design and analysis improvements. This includes leading capability projects, engaging with external scientists and regulators through publications and collaborations, and proactively identifying new areas where Statistical Innovation can add value, fostering relationships with external scientific communities.

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 settings, particularly in designing clinical studies, analyzing real-time data, handling missing data, and working with estimands, subgroups, and biomarkers.
• Strong programming skills in R and/or SAS.
• Excellent collaborative skills across global teams.
• Research record supported by publications in reputable statistical journals.
• Desire to apply scientific expertise to practical problems benefiting 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.