- You are a hands-on analyst who is able to dive quickly into Real World Data from various sources
- You apply your experience in mathematical modeling and machine learning methodologies and model selection to drive discovery and refinement of models
- You contribute your technical knowledge as a foundation for product decisions, identify and drive improvements
- You demonstrate strong collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way we use data and analytics
- You understand and practice the protection of personal and confidential data
- DEVELOP ALGORITHMS AND INSIGHTS: You will determine the data necessary to answer the research question, and access the data from diverse sources
- PRODUCE HIGH QUALITY ANALYSES: You will apply statistical analysis and advanced analytical methods (AI/ML) that are problem appropriate
- INTERPRET AND SHARE RESULTS: You will share findings with internal stakeholders and scientific communities; publish results; and participate in external conferences
- COLLABORATE & SHAPE: You will collaborate within Roche Diabetes Care and the broader Roche community and with external partners
- MSc, PhD or similar qualification in a quantitative discipline (e.g., statistics/ biostatistics, physics/engineering disciplines, computer science, mathematics)
- Knowledge and experience in data sciences (statistics, machine learning)
- Demonstrable experience working proactively and delivering results in a fast-moving, dynamic environment with significant uncertainty
- Strong technical depth in at least one Data Analytics area (statistical techniques, machine learning, data visualization) and an eagerness to learn other areas
- Fluency in two or more statistical programming languages (SAS, R, Python, Matlab)
- Strong collaboration skills and excellent communication skills
- Entrepreneurial mindset and self-direction, with a servant leadership disposition
- Ability to work in a matrix environment with global, team members coming from different disciplines (e.g. business, operations, etc.)
- PhD in a quantitative discipline
- Experience analyzing large data sets using appropriate tools (SQL, parallelization, Hadoop, Spark, etc.)
- Knowledge and experience in the healthcare field
- We are ambitious and passionate people building meaningful products
- We actively promote personal and career development so if you like writing blog posts, contributing to open source projects, or are an active participant and/or speaker at conferences and meet-ups, we are here to support you
- An innovative agile working environment allowing for collaboration and knowledge sharing in cross-functional teams
- Hybrid home office/on-site working model
- Loads of benefits (brand new Apple hardware, training, etc. ...)
- Oh, and did we mention the best team in the world!
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