20 beste Stellen als health data in zürich zh – aktuell auf Personalsuche

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
12 Tage
Quality Auditor - Pharmaceutical/Medical Device
SQA Services —Zürich, ZH
- CHF 1’700 pro Tag
- Schreibfähigkeiten
- Kommunikationsfähigkeit
Direkt bewerben
Health & Safety Manager, Data Center Health and Safety , Data Center Health and Safety
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Englisch
- AWS
- Erfahrung im Bauwesen
Client Lifecycle Documentation and Data Maintenance Specialist (F/M/X)
Deutsche Bank —Zürich, ZH
- 100%
- Spanisch
- Microsoft Excel
- Englisch
HR Senior Specialist (all genders) – Part-time (80%)
Boston Consulting Group —Zürich, ZH
- Teilzeit
- Microsoft Powerpoint
- Microsoft Excel
- Datenanalyse
- Pendlerbeitrag
Data Analyst
Prime21 AG —Zürich, ZH
- Datenanalyse
- Englisch
- Master
Senior Data Governance & Quality Manager 80-100%
Sunrise GmbH —Zürich, ZH
- Management-Erfahrung
- Analysefähigkeit
2 Tage
Intern in Analytical Chemistry Lab
Climeworks —Zürich, ZH
- CHF 2’000 - CHF 2’500 pro Monat
- 100%
- Laborerfahrung
- Englisch
- Master
Direkt bewerben
13 Tage
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
Engineering-L2-Warsaw-Associate-Systems Engineering
Goldman Sachs —Zürich, ZH
- 100%
- Eltern-/Erziehungsurlaub
Research Associate Data Science, Environmental Science, Agronomy
Swiss Federal Administration - Federal Department of Economic Affairs, Education and Research EAER —Zürich, ZH
- Doktorat
- Englisch
- Forschungserfahrung
6 Tage
CRA Switzerland
サイネオス・ヘルス —Zürich, ZH
- Homeoffice
- Englisch
- Bachelor
- PC-Kenntnisse
Senior IT Data Analyst
Tecan Trading AG —Männedorf, ZH
- Salesforce
- Datenanalyse
- Englisch
Data Architect (m/f/d)
Sonova —Stäfa, ZH
- Doktorat
- Master
- Kommunikationsfähigkeit
R&D and TS&D Laboratory specialist (f/m/d)
DuPont —Freienbach, SZ
- Englisch
- Master
- Bachelor
Anti Money Laundering Investigator (f/m/x)
Deutsche Bank —Zürich, ZH
- 100%
- Microsoft Excel
- Management-Erfahrung
- Englisch
Postdoctoral Researcher in Nursing and Digital Health
Universität Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Englisch
- Forschungserfahrung
- Weiterbildungen
Cosmetic Product Safety Assessor
La Prairie Group —Zürich, ZH
- 100%
- Englisch
- Erfahrung mit Netzwerken
- Kommunikationsfähigkeit
- Empfehlungsprogramm
PhD Position in 'Neuroscience of Motivation in Neurorehabilitation'
Universität Zürich —Zürich, ZH
- Teilzeit
- Datenanalyse
- Englisch
- Master
- Weiterbildungen
People Operations Specialist
Zühlke —Schlieren, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Englisch
- Homeoffice-Möglichkeit
14 Tage

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AIML - Research Scientist, Health

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

vor 12 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

health data Jobs in zürich zh

AIML - Research Scientist, Health

Quality Auditor - Pharmaceutical/Medical Device

Health & Safety Manager, Data Center Health and Safety , Data Center Health and Safety

Client Lifecycle Documentation and Data Maintenance Specialist (F/M/X)

HR Senior Specialist (all genders) – Part-time (80%)

Data Analyst

Senior Data Governance & Quality Manager 80-100%

Intern in Analytical Chemistry Lab

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

Engineering-L2-Warsaw-Associate-Systems Engineering

Research Associate Data Science, Environmental Science, Agronomy

CRA Switzerland

Senior IT Data Analyst

Data Architect (m/f/d)

R&D and TS&D Laboratory specialist (f/m/d)

Anti Money Laundering Investigator (f/m/x)

Postdoctoral Researcher in Nursing and Digital Health

Cosmetic Product Safety Assessor

PhD Position in 'Neuroscience of Motivation in Neurorehabilitation'

People Operations Specialist

Ich möchte aktuelle Job-E-Mails für Stellen als health data in zürich zh erhalten

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