Associate Director, Quantitative Science and Biometrics - Evinova

AstraZeneca•Gaithersburg, MD

28d•Hybrid

About The Position

As an Associate Director Scientist within Evinova Quantitative Science, you’ll play a key role in shaping how patient outcomes are measured and understood. As a subject matter expert in Clinical Outcome Assessments (COAs) and quantitative evidence generation, you’ll work at the intersection of science, data, and digital innovation. You’ll lead advanced analytics across existing and novel endpoints, helping define patient benefit and directly influencing the development of innovative therapies and digital health solutions. Working across study teams and therapeutic areas, you’ll design analytic approaches to solve complex evidence gaps, leveraging data from COAs, biosensors, and wearables to uncover meaningful, patient-centric insights across the drug development lifecycle. You’ll collaborate with cross-functional teams to drive high-impact work, while also helping to integrate AI-enabled analytics into workflows and contribute to the development of next-generation, AI-powered decision-support tools within Evinova’s digital product ecosystem.

Requirements

Doctoral degree (e.g., PhD, ScD, DrPH) in a relevant field such as Statistics, Biostatistics, Psychology, Epidemiology, Neuroscience, or similar, plus relevant experience
OR Master’s degree in a related field with significant practical 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.

Nice To Haves

Experience working with data from multiple sources, including wearables and sensors
Understanding of digital development frameworks
Understanding of the regulatory landscape governing human subjects research
Experience conducting outcomes research and communicating findings

Responsibilities

Develop and implement strategies for quantitative evidence generation at the study team and therapeutic area level
Develop analytic approaches to address evidence gaps
Contribute to programming workstreams across psychometrics, clinimetrics, and statistics to generate evidence of patient experience throughout the drug development lifecycle
Lead workstreams to deliver project-based evidence
Conduct and interpret psychometric, clinimetric, and statistical analyses for the validation of novel endpoints using COA and sensor/wearable data
Prepare, review, and contribute to scientific outputs including reports, presentations, publications, and regulatory materials
Integrate AI-enabled analytics into quantitative workflows to improve efficiency and scalability
Contribute to the design and refinement of AI-powered decision-support tools within Evinova’s digital health products

Benefits

qualified retirement program [401(k) plan]
paid vacation and holidays
paid leaves
health benefits including medical, prescription drug, dental, and vision coverage

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