20 beste Stellen als aiml research scientist, health in zürich, zh – aktuell auf Personalsuche

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
Applied Scientist
Thomson Reuters —Zug, ZG
- 100%
- Doktorat
- Master
- AWS
- Homeoffice-Möglichkeit
Wissenschaftliche(r) Assistent/in
Psychologisches Institut —Zürich, ZH
- Teilzeit
- Doktorat
- Master
- Bachelor
Student Assistant in Macroeconomic Forecasting and Data Science
ETH Zürich —Zürich, ZH
- Teilzeit
- Forschungserfahrung
- Python
CRA Switzerland
サイネオス・ヘルス —Zürich, ZH
- Homeoffice
- Englisch
- Bachelor
- PC-Kenntnisse
Applied Scientist, Search
Thomson Reuters —Zug, ZG
- 100%
- Doktorat
- Forschungserfahrung
- Master
- Homeoffice-Möglichkeit
Clinical Trial Liaison
Kiniksa Pharmaceuticals —Zug, ZG
- Englisch
- Microsoft Office
- Projektmanagement
Direkt bewerben
R&D and TS&D Laboratory specialist (f/m/d)
DuPont —Freienbach, SZ
- Englisch
- Master
- Bachelor
AIML - Machine Learning Research, Multimodal Foundation Models
Apple —Zürich, ZH
- Informatik
- Doktorat
- Python
Intern - Formula Development
La Prairie Group —Zürich, ZH
- Englisch
- Microsoft Office
- Analysefähigkeit
- Empfehlungsprogramm
11 Tage
Administrative assistant
ETH Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Englisch
- Microsoft Office
- Weiterbildungen
Scientific Communications Manager
Nobel Biocare —Kloten, ZH
- CHF 98’200 - CHF 152’200 pro Jahr
- Management-Erfahrung
- Doktorat
- Schreibfähigkeiten
- Bezahlte Feiertage
- Bezahlte Ferien
5 Tage
Wissenschaftliche:r Mitarbeitende:r 70 %
ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Zürich, ZH
- Teilzeit
- Englisch
- Master
- Bachelor
6 Tage
2 Postdoc positions (focus Canada and focus Japan) in the SNSF Starting Grant Project “Provisional Futures: Migrants as wanted workers, yet temporary residents”
Universität Zürich —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Doktorat
- Schreibfähigkeiten
- Weiterbildungen
Intern Project Support
Nobel Biocare —Kloten, ZH
- Microsoft Word
- Microsoft Excel
- Englisch
- Bezahlte Feiertage
- Bezahlte Ferien
11 Tage
Associate Principal/Principal Qualitative Research, Patient Centered Solutions
IQVIA —Zürich, ZH
- Homeoffice
- Management-Erfahrung
- Doktorat
- Schreibfähigkeiten
Wissenschaftliche:r Assistent:in am Center for Animal Rights & the Environment CARE 10-20 %
ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Winterthur, ZH
- Doktorat
- Englisch
- Bachelor
13 Tage
Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
ictjobs.ch —Zürich, ZH
- Doktorat
- Datenanalyse
- Forschungserfahrung
2 Tage
Digital Health Project Lead
Biogen —Baar, ZG
- 100%
- Doktorat
- Englisch
- Master
Clinical Education Specialist_Community and Engagement
Nobel Biocare —Kloten, ZH
- CHF 84’600 - CHF 131’200 pro Jahr
- Management-Erfahrung
- Englisch
- Projektmanagement
- Bezahlte Feiertage
- Bezahlte Ferien
10 Tage

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AIML - Research Scientist, Health

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

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

aiml research scientist, health Jobs in zürich, zh

AIML - Research Scientist, Health

Applied Scientist

Wissenschaftliche(r) Assistent/in

Student Assistant in Macroeconomic Forecasting and Data Science

CRA Switzerland

Applied Scientist, Search

Clinical Trial Liaison

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

AIML - Machine Learning Research, Multimodal Foundation Models

Intern - Formula Development

Administrative assistant

Scientific Communications Manager

Wissenschaftliche:r Mitarbeitende:r 70 %

2 Postdoc positions (focus Canada and focus Japan) in the SNSF Starting Grant Project “Provisional Futures: Migrants as wanted workers, yet temporary residents”

Intern Project Support

Associate Principal/Principal Qualitative Research, Patient Centered Solutions

Wissenschaftliche:r Assistent:in am Center for Animal Rights & the Environment CARE 10-20 %

Research Scientist Intern, AI/ML, Core Ads Growth (PhD)

Digital Health Project Lead

Clinical Education Specialist_Community and Engagement

Ich möchte aktuelle Job-E-Mails für Stellen als aiml research scientist, health in zürich, zh erhalten

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