Roche is looking to innovate and advance science to ensure everyone has access to the healthcare they need, and the Innovation Accelerator Data Science Lead will play a critical role in developing and scaling high-performing technical teams to deliver impactful, innovative solutions across Product Development Data Sciences (PDD).
Requirements
- You have knowledge of and experience with four or more of the following: Epidemiology, including causal inference methods for observational real world data (RWD) or real world evidence (RWE), Bayesian statistics, Decision theory, including multiple criteria decision analysis (MCDA), utility elicitation, decision simulation models, or Value of Information
- You have experience with clinical outcomes research using data from electronic health records (EHR)
- You have experience with discovery mechanisms and evidence generation pathways for novel biomarkers and risk scores
- You have experience with interpretable machine learning
- You have experience with methods to incorporate knowledge graphs, ontologies, or other forms of structured information
- You have experience with probabilistic programming languages
- You have experience with complex or innovative clinical trial designs, including adaptive stopping, seamless Phase 2/Phase 3 designs
Responsibilities
- You collaborate with the IA Data Science Head and function leadership to operationalize the innovation roadmap and scale high-impact solutions
- You translate innovation priorities into team-level resourcing, planning, and development strategies
- You support delivery teams across the solution lifecycle, from early-stage prototyping through productization and integration
- You oversee consistent implementation of best practices in data science, software engineering, and solution delivery within assigned teams
- You drive continuous improvement of internal processes to increase team efficiency, quality, and cross-functional alignment
- You partner with program and product leads to ensure appropriate technical staffing, risk management, and delivery velocity
- You serve as escalation point for delivery issues and coordinate technical resolution in collaboration with the Technical Lead
Other
- You have an advanced degree (Master’s or PhD) in Computer Science, Data Science, Statistics, Engineering, Biomedical Informatics, or a related field
- You have 12+ years of experience in project, study, or technical solution delivery across data science, software engineering, or digital product development
- You have 3+ years of experience in people leadership, including managing technical teams in matrixed or agile environments
- You have excellent communication, collaboration, and influencing skills across technical and non-technical audiences
- You demonstrate respect for cultural differences when interacting with colleagues in the global workplace
