Associate Director, Quantitative Science and Biometrics - Evinova

AstraZeneca • Durham, NC

8d • Hybrid

About The Position

Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone. Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide. At Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment. We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week, creating opportunities for in-person teamwork, innovation, and meaningful connection.

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

• Evinova is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination.
• Evinova 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 [email protected].

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree