Associate Director, Quantitative Science and Biometrics

Associate Director Scientist Evinova is a health-tech business, accelerating the delivery of better health outcomes by propelling the life sciences sector forward in digital health, from the inside. Through our application of science-based expertise, evidence-led rigour, and human insight, our digital solutions are deliberately designed so that everyone can reach better health outcomes together. Evinova is a health-tech business within the AstraZeneca Group. Digital health, the point at which healthcare, technology, data and analytics converge, is the subject of phenomenal promise, with the World Health Organisation believing it has the potential to improve health for everyone. At AstraZeneca, we've been working hard to make this a reality, with the years of experience we have accumulated enabling us to now embed digital health at scale across R&D. To achieve our goal of improving patient experience and outcomes AstraZeneca has Digital Health as one of the top 4 strategic priorities for the company, details on digital health strategy can be found here. Oncology is the largest therapeutic area within AstraZeneca and second highest cause of death globally, with AstraZeneca's ambition to eliminate cancer as a cause of death. Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects. About the Opportunity: As an Associate Director Scientist within Evinova Endpoints, you will serve as a subject matter expert in Clinical Outcome Assessments (COAs) and quantitative evidence generation spanning statistical analyses, endpoint development, and data management for both established and novel endpoints. You will lead advanced COA analytics that articulate the patient benefit of new medicines, directly shaping the development and commercialization of innovative therapies and digital health solutions. You will set strategic oversight for quantitative evidence generation at both study team and therapeutic area levels, designing analytic approaches to close evidence gaps. Your work will drive quantitative clinical programming for validation and exploratory analyses using biosensor and wearable data and COA data to identify and evaluate symptoms, function, health related quality of life, and other patient centric concepts of clinical benefit across the drug development lifecycle. Therapeutic areas include Oncology, Cardiovascular, Renal and Metabolism, and Respiratory and Immunology, among others. You will own the clinical data flow and management strategy, collaborating closely with product engineers to ensure robust, scalable pipelines. Responsibilities include overseeing project level work through cross functional collaboration, and developing and executing analysis plans to generate evidence that supports clinical validity of endpoints. Success in this role relies on strong partnerships with internal teams such as Study Teams, Strategy, Data Science, COA Measurement, and Product and external stakeholders such as Global and Clinical Study Teams and partners, consistently upholding patient centricity, diversity, sustainability, and scientific rigor. Accountabilities: Develop and implement strategies for quantitative evidence generation at the study team and TA level Develop analytic approaches to address evidence gaps Contribute to programming workstreams for psychometrics/clinometric/statistics to generate evidence of patients' experience with treatment throughout the drug development lifecycle. (e.g. psychometric performance of the instrument, sensitivity/specificity of signal detection, construction of novel endpoints). Lead workstreams to deliver project-based evidence. Contribute to the conduct and interpretation of psychometrics/clinometric or statistical analyses for the validation of novel endpoints leveraging data from clinical outcomes assessments (COA) including data from sensors/wearables in clinical trials including: develop analyses strategy, manipulate and validate data files, test selection, and analyses. With supervision, prepare, review, and publish data and ensure that clinical validation findings are communicated effectively, and as appropriate in scientific reports, internal/ conference presentations, publications, regulatory dossiers reflecting ongoing or completed work Qualifications: Education Highly Preferred: Doctoral degree (e.g., Ph.D., Sc. D. or Dr.P.H.) in a relevant field such as, but not limited to, Science, Statistics, Biostatistics, Psychology, Testing and Measurement, Epidemiology, Pharmaceutical, Neuroscience, or other quantitative-related fields, plus two years relevant and practical experience OR: Masters degree in a related field (as noted above), plus five years practical experience Skills and Experience Proficiency in Programming and Visualization: Skilled in R, SAS, Python, or similar tools for robust data analysis and visualization. Clinical Evidence Expertise: Capable of interpreting clinical research data and clearly communicating findings to diverse audiences. Drug Development Insight: Possesses a solid understanding of the drug development process and its stages. Project Leadership: Demonstrates strong project management abilities, ensuring effective planning, execution, and delivery of results. Analytical and Strategic Thinking: Excels in conceptual, analytical, and critical evaluation, enabling informed decision-making and problem-solving. Strategic Influence: Able to lead teams, influence key stakeholders, and thoughtfully persuade to achieve desired outcomes while fostering positive organizational relationships. Accountability and Initiative: Willing to challenge existing practices, take ownership of tasks, and uphold accountability for both self and others. Efficiency and Adaptability: Navigates ambiguity and rapidly resolves challenges in a dynamic, fast-paced environment, embracing new ways of working as needed. Exceptional Communication: Communicates clearly and confidently, with the ability to build productive relationships across teams. Creativity and Innovation: Brings a solution-oriented mindset, leveraging creative and innovative approaches to drive success. Diligence: Maintains attention to detail and manages multiple concurrent activities with precision and care. Resilience: Demonstrates the ability to adapt, overcome challenges, and motivate others within a constantly evolving environment. Desirable for the Role: Experience with data from multiple sources, including wearables and sensors Understanding of novel digital development framework with experience Understanding of the regulatory landscape governing research with human subjects Conducting of outcomes research studies, and the communication of study findings to internal and external audiences To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them. AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com. The annual base pay for this position ranges from $149,052 - $195,500 USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.