Journeyman Data Scientist supporting DoD enterprise data and analytics program, collaborating with teams to deliver scalable, production - ready solutions and enhancing data - driven decision - making.
About the role
- Data Scientist executing complex data science projects in Pharma R&D at Roche. Leading AI initiatives and data integration efforts to drive strategic decision-making.
Responsibilities
- Partner with senior leaders to develop data and technology strategies that enable informed decision-making across Medical Affairs.
- Act as a primary advocate for an "AI-first" mindset, spearheading the "Talk to the Data" initiative to improve departmental efficiencies and modernize how the organization interacts with medical information.
- Translate evidence questions from Medical Affairs stakeholders into analytics-ready technical requirements (cohort definitions, study designs, feasibility) for RWE and NIS programs.
- Build repeatable, traceable workflows connecting evidence needs to data assets and analytic outputs to enable “decision-grade” evidence planning.
- Design and implement the semantic and logical frameworks required to power natural language discovery.
- Enable stakeholders to leverage Generative AI to query complex evidence datasets intuitively, transforming how medical questions - ranging from PICO-based inquiries to subgroup analyses - are translated into technical requirements and actionable insights.
- Drive the end-to-end integration of the Medical Affairs data landscape by ensuring seamless interoperability between disparate systems and Real-World Data (RWD) sources.
- Architect robust pipelines and data standards that connect medical insights (e.g., patient and HCP perspectives) or registries and global data networks, creating unified data models that accelerate decision making and endpoint derivation and reduce time-to-analysis.
- Prototype and productionize analytics and ML solutions, including predictive models, causal inference methods, and decision automation, to support evidence generation.
- Contribute to imaging/digital pathology use cases and apply strong engineering practices (documentation, reproducibility, monitoring) to ensure robust model development and deployment in a pharma environment.
- Manages enterprise-level datasets and builds intricate, sophisticated predictive models.
Requirements
- Bachelor’s or advanced degree in a quantitative field (e.g., computer science, engineering, statistics, applied math, data science, bioinformatics, or similar), or equivalent practical experience.
- Extensive experience leading complex data science projects from end-to-end and driving significant business impact.
- Proven track record of working closely with senior leadership to inform and influence high-level strategic business decisions.
- Demonstrated experience in designing and implementing enterprise-wide data science frameworks and best practices.
- Deep expertise and expert-level proficiency in multiple programming languages (e.g., Python, SQL, R), sophisticated data analysis
- In-depth understanding and hands-on capability with state-of-the-art machine learning, AI techniques incl. GenAI frameworks, and experimental design.
- Strong background in data architecture, with the ability to manage enterprise-level datasets, optimize model performance, and ensure successful deployment and monitoring in production.
Benefits
- Annual bonus payment based on your performance (target 20%)
- Dedicated training budget (training, certifications, conferences, diversified career paths etc.)
- Recharge Fridays (2 Fridays off per quarter available)
- Take time Program (up to 3 months of leave to use for any purpose)
- Vacation subsidy available
- Flex Location (possibility to perform our work from different places in the world for a certain period of time)
- Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice)
- Private healthcare (LuxMed packages)
- Group life insurance (UNUM)
- Multisport
- Stock share purchase additions
- Yearly sales of company laptops and cars
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Journeyman Data Scientist supporting delivery of enterprise data and analytics solutions. Collaborate with teams to deliver scalable, production - ready solutions in a mission - driven environment.
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