Computational Science Lead
About the Job
At Sanofi, we chase the miracles of science to improve people’s lives. Within Digital R&D, the Integrative Clinical Data (ICD) team builds AI-powered products that transform how clinical trials are designed, executed, and optimized.
This role sits at the intersection of trial design, operational analytics, and AI-driven decision systems. You will lead the development of modeling and data frameworks that enable smarter trial design, real-time operational insights, and scalable analytics across clinical programs.
You will work across end-to-end data flows - from raw clinical and operational data to production-grade AI models and agentic systems. Your work will span in-silico trial prediction, patient representation learning, disease progression modeling, clinical foundation models, with extensions into trial enrollment, site intelligence, probability of technical and regulatory success (PTRS) modeling, and end-to-end trial optimization with agents.
As a Lead Computational Scientist, you will operate as a technical owner across initiatives, driving modeling strategy, ensuring scientific rigor, and enabling deployment of decision-grade insights into our Drug Development products.
Key Responsibilities
- Lead development of end-to-end clinical AI workflows, spanning data ingestion, curation, feature engineering, modeling, validation, and deployment across clinical trial design, execution, and optimization use cases
- Design, own and implement advanced modeling approaches for in-silico trial prediction, patient representation learning, disease progression modeling and other development AI use cases – with an evaluation first mindset
- Translate clinical development questions into scalable computational solutions, partnering with clinical, biostatistics, and product teams to define appropriate modeling strategies and success criteria
- Drive integration of models into production systems and decision workflows, collaborating with engineering teams to ensure robustness, scalability, and usability
- Define and implement validation frameworks, including statistical evaluation, temporal validation, and alignment to clinical and regulatory expectations
- Communicate insights through clear narratives, visualizations, and decision frameworks, enabling adoption by clinical teams, study leads, and senior leadership
- Mentor and guide junior scientists, providing direction on modeling approaches, study design, and best practices in machine learning and data science
- Contribute to scientific leadership and external impact, including publications, conference submissions (e.g., ML4H, NeurIPS, AMIA), and cross-industry/academia collaborations
- Identify and drive innovation opportunities across clinical AI, multimodal modeling, and agent-based systems for trial operations
- Stay current with advancements in machine learning, generative AI, and clinical data science, and help translate these into practical applications across the organization
About You
Qualifications
- 5+ years of experience in data science, machine learning, computational biology, or related quantitative fields, with demonstrated ownership of end-to-end analytical or modeling workflows
- Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., computer science, statistics, engineering, computational biology, applied mathematics)
- Strong programming experience in Python (preferred), with deep familiarity in scientific computing and machine learning frameworks (e.g., PyTorch, scikit-learn)
- Experience applying software engineering best practices to data and ML systems, including version control, testing, modular code design, and reproducible workflows
- Proven experience developing and deploying machine learning models on complex biomedical or clinical datasets (e.g., EHR, clinical trials, real-world data, imaging, multimodal data)
- Experience developing or applying agent-based or AI-driven decision systems, integrating machine learning models, data pipelines, and reasoning workflows to support complex tasks (e.g., clinical trial operations, monitoring, or optimization)
- Strong understanding of model validation, experimental design, and performance evaluation in real-world or clinical settings
- Experience working with data pipelines and large-scale datasets, including preprocessing, feature engineering, and reproducible workflows
- Ability to translate ambiguous business or clinical problems into structured analytical approaches
- Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
- Preference for a track record of publications or contributions to machine learning conferences (e.g., NeurIPS, ICML, ICLR, ML4H) or related journals
- Preference for experience working with cloud platforms and data infrastructure (e.g., AWS, Snowflake, Spark/PySpark)
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
#LI-Hybrid #BarcelonaHub #SanofiHubs
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.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!