Statistical Consultant

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

Job summary

A leading company in the pharmaceutical sector is looking for a Statistical Science Associate Director for its Statistical Innovation group. The successful candidate will provide statistical support across clinical development phases, emphasizing collaboration, innovative solutions, and the application of their expertise to benefit patients. This remote role requires significant practical experience and a passion for advancing statistical methodologies in clinical settings.

Qualifications

• Experience in clinical drug development and academic research.
• Research record supported by publications in reputable journals.
• Knowledge in safety data analysis, observational studies, and Bayesian methods.

Responsibilities

• Provide statistical methodology across all phases of clinical development.
• Lead projects to improve trial design and analysis.
• Offer consultancy to global teams and identify areas for statistical innovation.

Skills

Statistical methodology support

Programming in R and/or SAS

Collaboration across global teams

Education

PhD in Statistics or related field

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 make an impact by contributing to life-changing medicines? At AstraZeneca, we prioritize patients and apply cutting-edge science across various areas. We seek entrepreneurial, collaborative, and curious individuals who are confident in leading and acting swiftly.

We are hiring a contractor for our Statistical Innovation group as a Statistical Science Associate Director. The role involves providing statistical methodology support across all phases of clinical development for divisions including Cardiovascular, Renal & Metabolism, Respiratory & Immunology, Oncology, Rare Diseases, and Vaccines.

Within the Respiratory Biometrics and Statistical Innovation department, your data-driven work will help us efficiently develop medicines and make better business decisions through statistical expertise and programming.

Main duties and responsibilities:

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

You may lead or contribute to 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 methods for 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 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 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 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 teams.
• Research record supported by publications in reputable statistical journals.
• Passion for applying scientific skills to practical, patient-benefiting problems.
• 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.