Causal Inference Product Owner Clinical Design Modeling and Simulation within Digital

Mass Digital Health; Cambridge (MA); On-site; USD 134,000 - 193,000; Full time

Benefits offered by this job

Health and wellbeing benefits

Parental leave (14 weeks)

International opportunities

Job summary

Sanofi is seeking a Causal Inference Product Owner for Clinical Design Modeling and Simulation within Digital. Lead AI product strategy for Evidence Generation and Decision Sciences from within Digital Clinical Development, bridging business goals with technical execution in Real-World Evidence causal inference.

Responsibilities include strategic planning, stakeholder management, backlog ownership, and agile delivery across cross-functional teams to accelerate development timelines and reduce

Qualifications

• 5+ years in product management or complex digital solution development
• 3+ years model development or data science
• Healthcare/biotech experience with clinical datasets preferred
• Expert knowledge of causal modeling and causal inference; familiarity with knowledge graphs and Real World Evidence analytics
• Excellent stakeholder management and communication across organizational levels
• Strong business analysis and problem solving; develop user stories and ROI analyses
• Ability to influence strategically and drive adoption of technical solutions
• Proficiency in AI technologies and agile/lean methodologies
• Familiarity with Jira, Confluence, Miro, Lucidchart, SQL and UX/UI principles

Responsibilities

• Strategic Planning: Define and execute product roadmaps aligned with business objectives
• Stakeholder Management: Collaborate with leadership to drive product adoption
• Value Delivery: Define, track, and optimize product metrics and outcomes
• Product Ownership: Manage backlog and prioritization; decision-maker for features
• Technical Leadership: Guide AI product development from pre-clinical to real-world evidence
• Project Management: Lead cross-functional teams with agile methods to ensure on-time delivery

Skills

Product management

Data science

Healthcare experience

Causal modeling

Stakeholder management

Communication

AI technologies

Jira

Confluence

Miro

Lucidchart

SQL

Education

Life Sciences / Biotechnology / Biomedical Engineering / Computer Science degree

Tools

Jira

Confluence

Miro

Lucidchart

Job description

Job Title: Causal Inference Product Owner Clinical Design Modeling and Simulation within Digital.

• Location: Morristown, NJ
  

About The Job:
Lead AI product strategy and delivery for Evidence Generation and Decision Sciences from within Digital Clinical Development, acting as a strategic product leader who bridges business objectives with technical execution. Drive end-to-end Real-World Evidence- based causal inference modeling product ownership from vision to value delivery, leveraging AI and data analytics to transform drug development processes. Provide strategic direction for high-impact, measurable products aimed at reducing clinical development cycle-time, minimizing development risk, and optimizing costs through innovative quantitative approaches and agentic AI solutions. Join the digital engine driving Sanofi's transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you'll help build the first biopharma company powered by AI at scale.

About Sanofi:

We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.

Main Responsibilities:

• Strategic Planning: Define and execute product roadmaps aligned with business objectives

• Stakeholder Management: Collaborate with leadership across Digital Data Science, Translational Medicine, Development teams, and Clinical Operations to drive product adoption

• Value Delivery: Define, track, and optimize product metrics and business outcomes, ensuring measurable impact each sprint

• Product Ownership: Manage product backlog prioritization and serve as primary decision-maker for product features and requirements

• Technical Leadership: Guide AI product development from pre-clinical through real-world evidence integration

• Project Management: Lead cross-functional delivery teams through agile methodologies, ensuring on-time delivery of product increments
  

About You:
Basic Qualifications:

• 5+ years in product management or complex digital solution development

• 3+ years model development or data science

• Healthcare/biotech experience with clinical datasets preferred

• Expert knowledge of causal modeling and causal inference; familiarity with knowledge graphs, foundation models and Real World Evidence analytics

• Excellent stakeholder management and communication: ability to elicit, analyze, and synthesize requirements from diverse stakeholders across multiple organizational levels, translate complex technical concepts into business language and vice versa, manage conflicting priorities and negotiating trade-offs

• Strong business analysis and problem solving: ability to gather requirements and create user stories and process flows, analyze gaps and develop future state maps, perform root cause analysis and develop hypotheses, develop business cases and analyze ROI, drive data-based decision making

• Demonstrated ability to think and influence strategically: ability to connect projects and products to organizational goals and impact, drive change management and adoption of technical solutions, challenge assumptions and provide objective recommendations, and build trust with key stakeholders

• Proficiency in AI technologies, clinical development applications, and agile/lean methodologies

• Familiarity with Jira, Confluence, Miro, Lucidchart, system integration and data flows, SQL or other data querying capabilities, and UX/UI principles and user centered design thinking
  

Preferred Qualifications:

• Degree in Life Sciences, Biotechnology, Biomedical Engineering, Computer Science, or related technical field

• Strong preference for candidates with both scientific and data science backgrounds.
  

Why Choose Us:

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

• Join the digital force behind Sanofi's AI-powered pipeline, where Expert, Generative, and Snackable AI accelerate the discovery, development and delivery of breakthrough treatments to patients.

• Help reduce time from discovery to commercialization, delivering life-changing medicines to patients faster than ever.

• Benefit from pioneering partnerships with OpenAI, AQEMIA, IBM, and others.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
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Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

US and Puerto Rico Residents Only

North America Applicants Only

The salary range for this position is:

$133.500,00 - $192.833,33

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.