Data Scientist Jobs in Zürich
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Suchergebnisse - Data Scientist Jobs in Zürich
Swisslinx AG-Zürich
Data Engineers, Data Scientists, anderen DevOps-Teams und Stakeholdern aus den Fachbereiten, um Prototypen in betriebsfähige Lösungen zu überführen.
• Kontinuierliche Überwachung, Fine-Tuning des Einsatzes von Machine-Learning- und GenAI-Lösungen...
appcast.io -
TraceLine Solutions-Zürich
into signed agreements with population-scale genomic data repositories and paid pilots with biotech organisations in rare disease and precision medicine; internally, you will be the scientific authority the product and delivery team relies on for genomics...
Swisslinx AG-Zürich
Swisslinx AG sucht zwei erfahrene Data Scientists - GenAI für ein AI Strategieprojekt in Zürich. Die Rolle beinhaltet die Entwicklung von robusten GenAI-Lösungen, einschließlich Retrieval-Augmented Generation (RAG) und das Arbeiten mit Cloud...
appcast.io -
TraceLine Solutions-Zürich
TraceLine Solutions in Zurich is seeking a Senior Scientific Leader to develop partnerships and manage operations. This role requires a PhD in bioinformatics or related fields, with deep expertise in population-scale genomic data and a track record...
MEDICJOBS-Zürich
The Department of Vascular Surgery at the University Hospital Zurich (USZ/UZH) (Director Professor Alexander Zimmermann) invites applications for a Senior Scientist / Research Group Lead position in translational vascular research.The successful...
Takeda-Zürich
The role of Head of Global Data Dissemination is a senior leadership position within the Global Medical organization reporting to the Chief Medical Officer. The incumbent is a critical member of the Global Medical Leadership Team (GMLT...
QZabre AG-Zürich
functional role sitting at the intersection of scientific algorithm development and commercialization. The successful candidate will contribute directly to our product Magma, a proprietary data analysis platform for quantum scanning microscopy, while also...
Data Scientist Stellenangebote – Weitere Orte:
On-Zürich
to provide clean, tested, documented and well‑defined data. You will lead data engineers, data analysts and data scientists by providing guidance on architectural and design decisions, evangelizing best practices and governance policies, and acting as a point...
MaxWell Biosystems AG-Zürich
At MaxWell Biosystems, we innovate the future of electrophysiology by developing cutting-edge technologies for neural activity recording. Our platform includes the software MaxLab Live, a custom-designed integrated circuit, and an FPGA-based data...
On-Zürich
machine learning platforms (e.g., Vertex AI), Google Cloud, batch and streaming technologies is a plus.
Meet the team
We’re a growing team of passionate Data Scientists and Engineers working across On. We build creative and impactful models end‑to‑end...
Hotel du Parc-Zürich
scientific exchange, and patient journey insights.
• Represent market and regional perspectives in global forums to shape clinical development and communication strategies.
• Drive high‑impact scientific engagement with thought leaders, academic...
appcast.io -
Universität Zürich-Zürich
genetic, and social co-nesting data, and aims to develop new statistical and computational tools applicable well beyond the study system. The PhD project is embedded in a collaborative framework with network scientists and evolutionary biologists...
lumoo-Zürich
<< ZURÜCK
BEWERBEN
von: lumoo
Position: Co-Founder / Backend developer & Data scientist
Company: mylumio – Health- and Nutritech startup
Location: Zürich / Remote (within Switzerland)
We’re looking for a Swiss-based Co-Founder – Backend...
stellen-zuerich.ch -
SIB Institut Suisse de Bioinformatique-Zürich
Maintenance & extension of data analysis pipelines (proteomics, genome assembly)
Profile requirements
• Recently (less than 10 months ago) finished Master degree (ETH or University, FH)
• Motivated scientist with a background/degree in Bioinformatics...
jobup.ch -
ITJOBS-Zürich
is redefining how to design and deliver advanced computational services. Modern scientific and engineering workloads are no longer just large; they are complex, data-intensive, and highly diverse, meaning they push existing infrastructure to its limits...
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