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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 follows the science and 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, and collaborating to turn the impossible into reality. If you act swiftly, lead confidently, collaborate willingly, and are curious about the potential of science, you are our ideal candidate.
We are hiring a contractor to join our growing Statistical Innovation group as a Statistical Science Associate Director. Our main focus is providing statistical methodology support across all phases of clinical development for AZ’s Cardiovascular, Renal & Metabolism, Respiratory & Immunology divisions, with targeted support for Oncology, Rare Diseases, and Vaccine divisions.
This role is within the Respiratory Biometrics and Statistical Innovation department, where our data-driven approach helps us work efficiently and creatively to deliver the right medicines to the right patients. Our teams leverage their expertise in statistics and programming to address drug development objectives and reduce uncertainty, facilitating better business decisions with quantitative reasoning.
Main duties and responsibilities
You will join a team of statistical methodology experts, providing key insights and solutions at critical stages of the drug development cycle. This exciting and technically challenging work occurs in a dynamic landscape. Your primary focus will be on delivering pragmatic solutions within tight timelines, with subsequent refinement and development.
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 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, and participate in strategic activities like capability building projects. These efforts aim to improve clinical trial design and analysis at AstraZeneca. Additionally, you will develop and implement new methodologies, engage with external scientists and regulators through publications and collaborations, and identify new areas where Statistical Innovation can add value, fostering relationships with the scientific and academic 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, 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.
* High competence in cross-disciplinary collaboration.
* Research record with 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 effects models.
* Awareness of evolving scientific and regulatory issues in statistics.
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