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How much do quantitative science jobs pay per year?

As of May 28, 2026, the average yearly pay for quantitative science in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a Quantitative Science job?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are the key skills and qualifications needed to thrive in the Quantitative Science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

What are some typical projects or tasks a Quantitative Science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.
What cities are hiring for Quantitative Science jobs? Cities with the most Quantitative Science job openings:
What states have the most Quantitative Science jobs? States with the most job openings for Quantitative Science jobs include:
Associate Director, Quantitative Science and Biometrics - Evinova

Associate Director, Quantitative Science and Biometrics - Evinova

AstraZeneca

Durham, NC • On-site

Other

Posted 2 days ago


AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 70 rated pharmaceutical


Job description

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 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 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 SO, WHAT'S NEXT. 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.

Where can I find out more. Explore what we're building: www.evinova.com Stay connected and see our impact in action: https://www.linkedin.com/company/evinova/ Apply today to bring smarter, faster clinical trials to life. 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 AZCHumanResources@astrazeneca.com. #LI-Hybrid Date Posted 27-May-2026 Closing Date 11-Jun-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees

In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.


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