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

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
11 Tage
DOCTORAL RESEARCHER POSITION AT THE CHAIR FOR SCIENCE COMMUNICATION (PROF. DR. MIKE S. SCHÄFER)
Universität Zürich —Zürich, ZH
- Teilzeit
- Englisch
- Forschungserfahrung
- Bachelor
- Weiterbildungen
1 Tag
Partner, Health Care - Generics, Biosimilars & Strategic Transformation
Boston Consulting Group —Zürich, ZH
- 100%
Intern in Analytical Chemistry Lab
Climeworks —Zürich, ZH
- CHF 2’000 - CHF 2’500 pro Monat
- 100%
- Laborerfahrung
- Englisch
- Master
Direkt bewerben
12 Tage
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
R&D and TS&D Laboratory specialist (f/m/d)
DuPont —Freienbach, SZ
- Englisch
- Master
- Bachelor
Postdoctoral Researcher in Nursing and Digital Health
Universität Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Englisch
- Forschungserfahrung
- Weiterbildungen
Doctoral Researcher in Food Processing for Planetary and Human Health
ETH Zürich —Zürich, ZH
- 100%
- Schreibfähigkeiten
- Englisch
- Master
PhD Position in 'Neuroscience of Motivation in Neurorehabilitation'
Universität Zürich —Zürich, ZH
- Teilzeit
- Datenanalyse
- Englisch
- Master
- Weiterbildungen
Global Account Manager - Life Science, Healthcare and Life Sciences
AWS EMEA SARL (Switzerland Branch) —Zürich, ZH
- 100%
- Informatik
- Vertrieb
- AWS
Cosmetic Product Safety Assessor
La Prairie Group —Zürich, ZH
- 100%
- Englisch
- Erfahrung mit Netzwerken
- Kommunikationsfähigkeit
- Empfehlungsprogramm
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
Clinical Trial Liaison
Kiniksa Pharmaceuticals —Zug, ZG
- Englisch
- Microsoft Office
- Projektmanagement
Direkt bewerben
Scientist - Reliability Engineering (f/m/d)
Hitachi —Baden, AG
- 100%
- Homeoffice
- Doktorat
- Englisch
- Forschungserfahrung
14 Std.
Director, Policy, Advocacy and Government Affairs Switzerland
CSL Behring —Glattbrugg, ZH
- 100%
- Englisch
- Analysefähigkeit
5 Tage
European Director, Nutrition & Scientific Affairs
Mondelēz International —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Führungserfahrung
Manager, Regulatory Clinical Trial Authorization (CTA)
CSL Behring —Glattbrugg, ZH
- 100%
- Kundendienst
- Englisch
- Master
13 Tage
Projekt Manager: in Digital Health (80 – 100%)
CISTEC AG —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Homeoffice-Möglichkeit
Development of Novel EM Models for Simulations of Human Brain Activity
IT'IS Foundation —Zürich, ZH
- Englisch
- Master
- Python
PhD Position in Vehicle Sensor and Remote Sensing Analysis for Road Safety
ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
20 Std.

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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

health science Jobs in zürich, zh

AIML - Research Scientist, Health

DOCTORAL RESEARCHER POSITION AT THE CHAIR FOR SCIENCE COMMUNICATION (PROF. DR. MIKE S. SCHÄFER)

Partner, Health Care - Generics, Biosimilars & Strategic Transformation

Intern in Analytical Chemistry Lab

Research Associate Data Science, Environmental Science, Agronomy

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

Postdoctoral Researcher in Nursing and Digital Health

Doctoral Researcher in Food Processing for Planetary and Human Health

PhD Position in 'Neuroscience of Motivation in Neurorehabilitation'

Global Account Manager - Life Science, Healthcare and Life Sciences

Cosmetic Product Safety Assessor

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

Clinical Trial Liaison

Scientist - Reliability Engineering (f/m/d)

Director, Policy, Advocacy and Government Affairs Switzerland

European Director, Nutrition & Scientific Affairs

Manager, Regulatory Clinical Trial Authorization (CTA)

Projekt Manager: in Digital Health (80 – 100%)

Development of Novel EM Models for Simulations of Human Brain Activity

PhD Position in Vehicle Sensor and Remote Sensing Analysis for Road Safety

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

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