20 beste Stellen als scientist in regensberg zh – aktuell auf Personalsuche

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
11 Tage
Research Engineer / Research Scientist, Pre-training
Anthropic —Zürich, ZH
- CHF 280’000 - CHF 680’000 pro Jahr
- Doktorat
- Forschungserfahrung
- Master
- Eltern-/Erziehungsurlaub
Scientist - Nuclear Fuel Behavior Analysis and Development
Paul Scherrer Institut PSI —Villigen PSI, AG
- Doktorat
- Analysefähigkeit
- Scripting
Senior Data Scientist, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- CHF 232’000 - CHF 252’000 pro Jahr
- 100%
- Datenanalyse
- Master
2 Tage
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Biognosys AG —Schlieren, ZH
- 100%
- Doktorat
- Datenanalyse
- Englisch
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CSL Behring —Glattbrugg, ZH
- 100%
- Doktorat
- Master
- Bachelor
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Universität Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
- Weiterbildungen
Junior Data Scientist 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Englisch
- Java
- Master
12 Tage
Internship in high-precision laser spectroscopy for gas sensing (80-100%)
ABB —Baden, AG
- Datenanalyse
- Englisch
- Praktikum
Head of the Laboratory for Neutron and Muon Instrumentation (LIN)
Paul Scherrer Institut PSI —Villigen PSI, AG
- Forschungserfahrung
- Führungserfahrung
Senior Medical Scientist - Sponsor-dedicated (Switzerland, Morges - 3 days at office)
サイネオス・ヘルス —Zürich, ZH
- Homeoffice
- Microsoft Powerpoint
- Doktorat
- Forschungserfahrung
Scientist - Reliability Engineering (f/m/d)
Hitachi —Baden, AG
- 100%
- Homeoffice
- Doktorat
- Englisch
- Forschungserfahrung
10 Std.
AI Scientist - Zurich
Mistral AI —Zürich, ZH
- 100%
- Java
- Python
- Pensionskasse
AIML - Machine Learning Research, Multimodal Foundation Models
Apple —Zürich, ZH
- Informatik
- Doktorat
- Python
7 Tage
Research Assistant in Development Economics
ETH Zürich —Zürich, ZH
- Teilzeit
- Englisch
- Forschungserfahrung
- Master
Data Scientist/in mit ausgeprägtem Interesse an Softwareentwicklung befristet bis Ende 2030,
Gesundheitsdirektion —Zürich, ZH
- Teilzeit
- Datenanalyse
- Master
- Python
14 Tage
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Doktorat
- Englisch
- Master
12 Tage
Internship Data Scientist in Zurich (f/m/x)
ZEISS Group —Zürich, ZH
- 100%
- Englisch
- Kommunikationsfähigkeit
- Python
13 Tage
EMEA Total Rewards Partner
CSL Seqirus —Glattbrugg, ZH
- 100%
- Microsoft Excel
- Englisch
- Analysefähigkeit
Scientific Education Developer, Cradle Academy
Cradle —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Datenanalyse
- Master

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AIML - Research Scientist, Health

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

vor 11 Tagen

Qualifikationen

Forschungserfahrung
Master
Analysefähigkeit
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

The Personalized AI for Science (PAIS) team is at the forefront of machine learning and health science at Apple. We are a close-knit team of deeply technical AI/ML research scientists who incubate ambitious research ideas and develop new statistical/ML methodologies, ultimately in service of new Apple health and wellbeing applications. We are seeking a research scientist who combines deep learning (and/or signal processing) experience with a rigorous foundation in statistics. The ideal candidate is passionate about model robustness and scientific rigor, ensuring that the models we deploy meet the high evidentiary standards required of health applications.

Description
In this role, you will design, train, and adapt modern deep learning models on unique health data, and apply your statistical expertise to evaluate them rigorously - going beyond aggregate accuracy to interrogate model behavior across populations, distributional shifts, and clinically meaningful subgroups. You will be expected to engage substantively with health as an application area, developing the domain knowledge needed to ask the right modeling questions and evaluate models against the realities of clinical and wellbeing use. You will work closely with collaborators across research and product teams, and contribute to features that ultimately reach a billion Apple devices worldwide.","responsibilities":"Designing, training, and adapting modern deep learning models and architectures on large-scale physiological and behavioral data
Designing rigorous evaluation protocols, including subgroup analyses, robustness to distributional shifts, and characterization of failure modes
Applying statistical methods (hypothesis testing, uncertainty quantification, causal inference, survival analysis) to draw defensible conclusions from observational health data
Translating clinical and product questions into well-posed problem definitions
Engaging with the academic community by publishing papers and presenting your work
Collaborating with product teams across Apple to transition research into deployed health features

Preferred Qualifications
Proficiency in Python and modern ML/analysis stacks, including LLM-based coding and analysis
Excellent communication skills, including the ability to present technical work to clinical and broad technical audiences
Research or applied experience in deep learning and statistical modeling in the health domain (e.g. wearable devices, clinical studies, or electronic health records)
Experience with one or more of: causal inference, survival analysis, time-series modeling, or longitudinal analysis
Experience with rigorous evaluation methodology for ML in clinical or scientific settings, such as benchmarking under controlled distribution shifts, calibration analysis, or regulatory-grade validation
Publications at venues such as NeurIPS, ICML, ICLR

Minimum Qualifications
Hands-on experience designing and training modern deep learning models and architectures, including foundation models, self-supervised pretraining, multimodality, and parameter-efficient adaptation
Experience characterizing and improving the robustness of ML models under distributional shifts that are common in health data (subject variability, device heterogeneity, temporal drift)
Strong foundation in statistics, with the ability to draw defensible conclusions from observational data
Ability to design and execute non-trivial model evaluations beyond standard validation

Jetzt bewerben

Erweiterte Suche

scientist Jobs in regensberg zh

AIML - Research Scientist, Health

Research Engineer / Research Scientist, Pre-training

Scientist - Nuclear Fuel Behavior Analysis and Development

Senior Data Scientist, GeminiApp, DeepMind

(Senior) Scientist R&D, 100%

Senior Scientist, Pharmacokinetics (PK)

International Fully Funded PhD Positions in the Life Sciences

Junior Data Scientist 100% (f/m/d)

Internship in high-precision laser spectroscopy for gas sensing (80-100%)

Head of the Laboratory for Neutron and Muon Instrumentation (LIN)

Senior Medical Scientist - Sponsor-dedicated (Switzerland, Morges - 3 days at office)

Scientist - Reliability Engineering (f/m/d)

AI Scientist - Zurich

AIML - Machine Learning Research, Multimodal Foundation Models

Research Assistant in Development Economics

Data Scientist/in mit ausgeprägtem Interesse an Softwareentwicklung befristet bis Ende 2030,

Data Scientist - QuantumBlack, AI by McKinsey

Internship Data Scientist in Zurich (f/m/x)

EMEA Total Rewards Partner

Scientific Education Developer, Cradle Academy

Ich möchte aktuelle Job-E-Mails für Stellen als scientist in regensberg zh erhalten

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