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2 machine learning intern jobs found

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Neurocrine Bioscience
10/06/2026
Full time
Biostatistics Director
Neurocrine Bioscience Allschwil, BL, Switzerland
Who We Are: Neurocrine Biosciences is a leading biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering, developing and commercializing life-changing treatments for patients with under-addressed neurological, psychiatric, endocrine and immunological disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, hyperphagia in patients with Prader-Willi syndrome, endometriosis* and uterine fibroids*, as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For more than three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and...
Universität St.Gallen
08/06/2026
Full time
Data Science Research Assistant / Data Lake Engineer (m/f/d)
Universität St.Gallen Dufourstrasse 40, 9000 St. Gallen, SG, Switzerland
Data Science Research Assistant / Data Lake Engineer (m/f/d) 70 % (limited, by 01.08.2026) Your tasks Responsibilities and Project The position supports the development of a research data lake for empirical work with large-scale financial, textual, licensed, and partly confidential datasets. The objective is to build a robust, well-documented, and reproducible data infrastructure that allows researchers to ingest, store, process, document, and analyze data efficiently and securely. Research and infrastructure tasks will include data engineering, coding, documentation, and coordination with researchers and IT/platform providers. Core tasks include, among others: Design and implementation of the research data lake Support the design of a scalable data architecture for approximately 5 TB of research data Structure data into raw, cleaned, and analysis-ready layers Develop clear naming conventions, folder structures, access rules, and...

 

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