Senior Data Scientist; AI-assisted Clinical Development

Position: Senior Data Scientist (AI-assisted Clinical Development)
The PositionA healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

This role is based in the Innovation Accelerator (IA) team, the innovation engine and connective tissue for Design, Data and Data Science innovation strategy within Product Development Data Sciences (PDD). We translate our long-term PDD vision into actionable strategy, shaping and prioritizing innovative cross-functional use cases that span PDD, PD, and Pharma. As both integrators and incubators, we explore, prototype, and help productize solutions to deliver impact in close partnership with internal Roche teams and external collaborators.

With a mindset rooted in openness, value creation, and adaptability, we navigate the innovation ecosystem to drive transformative impact and future readiness across the organization.

The Opportunity:

The IA Senior Data Scientist plays a pivotal role in building and deploying AI/ML-powered digital solutions that transform how we develop medicines. You will partner closely with product managers, software engineers, and UX researchers to design, test, and scale statistical capabilities that unlock actionable insights from clinical, operational, and real-world data. With a strong product-thinking mindset and deep technical fluency, you will help create intelligent tools that are scalable, ethical, and built for impact in regulated healthcare environments.

You apply advanced statistical and machine learning methods to support development of tools and software products for evidence generation, trial design, and decision support across R&D initiatives

You act as the subject matter expert to inform software products for the conduct of simulation studies and comparative evaluations of analytical approaches for clinical and operational scenarios

You collaborate with domain experts to translate scientific problems into data science workflows, identifying patterns of workflows that can be automated and productized

You build and maintain model development pipelines, ensuring traceability, performance monitoring, and reproducibility

You contribute to the integration of models and algorithms into production applications, working closely with engineering and product teams

You participate in the design of compliant and interpretable ML product architectures for clinical development environments

You design documentation templates that communicate modeling decisions, trade-offs, and performance summaries to cross-functional stakeholders

You contribute to internal knowledge sharing, peer reviews, and community learning within the data science function

Who you are:

You have a Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Bioinformatics, or a related field

You have 3+ years of experience applying machine learning and statistical modeling to data-centric problems in research or product environments

You are proficient with Python or R, including experience with ML libraries such as scikit-learn, XGBoost, Tensor Flow, or Py Torch You  have experience in experimental design, simulation, and evaluation of model performance

You have the ability to translate scientific or business questions into model architectures and data pipelines

You have practical experience with version control, testing frameworks, and collaborative software development

You have experience working with one or more of the following: RWD/RWE, decision analysis, clinical biomarkers, Bayesian inference, or interpretable MLYou have attention to detail and quality work with an ability to manage and…