Statistical Consultant

JR United Kingdom; London; Remote; GBP 80,000 - 120,000; Full time

Job summary

A leading company seeks a Statistical Science Associate Director to drive innovative statistical methodologies in clinical studies. This role involves leading statistical solutions in drug development, requiring deep knowledge in statistics and programming, as well as collaboration with cross-functional teams to improve clinical trials.

Qualifications

• Experience in clinical drug development and independent academic research.
• Documented ability to deliver innovative statistical solutions.
• Knowledge/research experience in safety data analysis and Bayesian statistics.

Responsibilities

• Provide key input in drug development cycles through statistical methodology.
• Design clinical studies and analyze real-time data.
• Lead capability build projects impacting trial designs.

Skills

Statistical solutions

Programming in R

Programming in SAS

Innovative statistical approaches

Collaborative working

Statistical methodology development

Education

PhD in Statistics or related discipline

Job description

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Role: Statistical Science Associate Director – Statistical Innovation

Location: Remote

Duration: 12 months

Description

Do you have a passion for developing and aiding implementation of innovative statistical approaches and methods in clinical studies? Are you up for the challenge to impact a company that follows the science and turns ideas into life-changing medicines?

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide, while applying leading-edge approaches to science across many business areas. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality. If you are swift to act, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

We are recruiting a contractor to join our growing Statistical Innovation group as a Statistical Science Associate Director. Our main focus is providing statistical methodology support for all phases of clinical development for AZ’s Cardiovascular, Renal & Metabolism and Respiratory & Immunology divisions, along with targeted support for Oncology, Rare Diseases, and Vaccines divisions.

In this role, you will belong to the Respiratory Biometrics and Statistical Innovation department, where our data-driven focus helps us work efficiently and creatively to bring the right medicines to the right patients. Our teams use their expertise in statistics and programming to address drug development objectives and reduce uncertainty in product development, driving better business decisions with quantitative reasoning.

Main duties and responsibilities

Joining a team of statistical methodology experts, you will provide key input as you work to find solutions to problems at critical stages in the drug development cycle. This is exciting and technically challenging work in a dynamic and constantly changing landscape. Your key focus will be on producing pragmatic solutions, often within a tight time scale where the emphasis will be to deliver first, then refine and develop your solutions thereafter.

You will contribute to, or lead capability build in more than one of the following statistical areas:

• Design of early and late phase clinical studies, including group sequential and adaptive designs using both frequentist and Bayesian approaches.
• Methods to analyze data collected in real-time, Estimands, Missing Data, Subgroup, and Biomarkers.

You will also provide expert consultancy on key issues for fellow statisticians working in our therapeutically aligned statistics groups, as well as medical scientists and other key roles across the business. This will involve leading and participating in strategic activities such as capability build projects, which can directly impact improvements to the way clinical trials are designed and analyzed in AstraZeneca. There will also be a focus on developing and implementing new methodologies, interacting with external scientists and regulators through publications, presentations, and cross-industry collaborations. Additionally, there will be an emphasis on proactively identifying new areas where Statistical Innovation can add value, developing collaborative relationships with the external scientific/academic community.

Requirements:

• PhD in Statistics or a related discipline, followed by experience of independent academic research and/or clinical drug development.
• Documented ability to deliver innovative statistical solutions in an applied environment (related to at least one of the following areas: Design of early and late phase clinical studies, including group sequential and adaptive designs; Analysis of real-time data (e.g., sensor data); Missing data; Estimands; Subgroups; Biomarkers).
• Strong knowledge of programming in R and/or SAS.
• High level of competence in global and cross-skilled collaborative working.
• Track record of research and methodological development in Statistics, supported by publications in first-class statistical journals.
• Desire to apply scientific competence to practical problems, for the benefit of patients.
• Knowledge/research experience in statistical methodology related to safety data analysis, observational studies, meta-analysis, Bayesian statistics, non-linear, and mixed effect models.
• Broad awareness of statistical issues within the evolving scientific and regulatory landscape.