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2 biostatistics jobs found in Zürich

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Full time  (2)
MSD
15/06/2026
Full time
Associate Scientist, Postdoctoral Fellow - AI in Infectious Disease Modeling
MSD Zürich, ZH, Switzerland
Be a part of the legacy: Postdoctoral Research Fellow Program Our Research Laboratories’ Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery. Position Overview: This position is in the vaccine modeling team of the Health Economic and Decision Sciences (HEDS) department withing Biostatistics and Research Decision Sciences (BARDS) at our Research Laboratories. BARDS HEDS provides strategic and analytic modeling expertise to measure and quantify the value of our company's products. As part of an agile team, the fellow will develop and support a seamless mechanism of coordination and collaboration in a dynamic area of...
Novartis
01/06/2026
Full time
Data, Analytics, AI & Platforms (DAP) Manager
Novartis Suurstoffi 14, 6343 Risch-Rotkreuz, ZG, Switzerland
The Data, Analytics, AI & Platforms (DAP) Manager is the local technical anchor for data, analytics and AI within the Execution Excellence function at Novartis Pharma Switzerland. The role ensures Swiss commercial, Value & Access (V&A) and Medical Affairs teams get full value from the global Novartis analytics and AI ecosystem. At its core, this is a Data & Analytics role with AI/GenAI and agentic AI as a strategic layer on top, supported by platform localization and operational readiness. The role works across the core No-vartis analytics stack; Python, Azure, Snowflake, and PowerBI, to deliver applied analytics, AI use cases and high-quality data products for the Swiss organization. On the Data & Analytics side, the DAP Manager is hands-on and technically deep. Day to day, this means designing and maintaining local data models on Snowflake, building enterprise-grade PowerBI dashboards on top of them, leveraging Azure data and AI services for pipelines,...

 

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