Associate Director, Quantitative Science and Biometrics - Evinova

WHY JOIN US?
 

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.

About the Opportunity:
 

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.

What You’ll Do:

• 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

Qualifications

Required Education:

• 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

Required 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 exi