20 beste Stellen als scientific communication in zürich, zh – aktuell auf Personalsuche

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
11 Tage
Communication Specialist
ETH Zürich —Zürich, ZH
- Teilzeit
- Schreibfähigkeiten
- Englisch
12 Tage
Research Engineer / Research Scientist, Pre-training
Anthropic —Zürich, ZH
- CHF 280’000 - CHF 680’000 pro Jahr
- Doktorat
- Forschungserfahrung
- Master
- Eltern-/Erziehungsurlaub
Scientific Education Developer, Cradle Academy
Cradle —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Datenanalyse
- Master
Clinical Research Associate
ICON Plc —Zürich, ZH
- 100%
- SPS-Steuerung
- Bachelor
- Kommunikationsfähigkeit
14 Tage
Associate Director, Global Medical Affairs Rare Haemato-Renal Disorders
Novo Nordisk —Zürich, ZH
- Doktorat
- Projektmanagement
- Vor Ort
1 Tag
Senior Data Scientist, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- CHF 232’000 - CHF 252’000 pro Jahr
- 100%
- Datenanalyse
- Master
2 Tage
Science Communications Associate
accelopment AG —Zürich, ZH
- 100%
- Englisch
- Microsoft Office
- Bachelor
Associate to the Directors at ETH AI Center
ETH Zürich —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Forschungserfahrung
- Master
INDUSTRIAL PHD CANDIDATE CANCER IMMUNOTHERAPY / BISPECIFIC ANTIBODIES (BIOLOGY GROUP)
Philochem AG —Zürich, ZH
- Doktorat
- Englisch
- Master
Student job “Project Assistant”
accelopment AG —Zürich, ZH
- Teilzeit
- Englisch
- Microsoft Office
- Bachelor
European Director, Nutrition & Scientific Affairs
Mondelēz International —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Führungserfahrung
PhD Position in 'Neuroscience of Motivation in Neurorehabilitation'
Universität Zürich —Zürich, ZH
- Teilzeit
- Datenanalyse
- Englisch
- Master
- Weiterbildungen
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
Medical Science Liaison Manager (MSL) and Medical Advisor - Switzerland
LEO Pharma A/S —Zürich, ZH
- Doktorat
- Schreibfähigkeiten
- Englisch
EU Project Communications Manager
accelopment AG —Zürich, ZH
- 100%
- Englisch
- Microsoft Office
- Bachelor
Director, Policy, Advocacy and Government Affairs Switzerland
CSL Behring —Glattbrugg, ZH
- 100%
- Englisch
- Analysefähigkeit
5 Tage
Strategy and Transformation Consultant - Consumer Product and Retail Sector
Capgemini —Zürich, ZH
- Englisch
- Master
- Projektmanagement
- Empfehlungsprogramm
Scientific Education Manager (m/f/x)* Dental Solutions EMEA
Solventum —Rüschlikon, ZH
- 100%
- Homeoffice
- Englisch
- Microsoft Office
- Kommunikationsfähigkeit
(Junior) Strategy and Transformation Consultant
Capgemini —Opfikon, ZH
- Management-Erfahrung
- Englisch
- Softwareentwicklung

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scientific communication jobs near zürich, zh

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

scientific communication Jobs in zürich, zh

AIML - Research Scientist, Health

Communication Specialist

Research Engineer / Research Scientist, Pre-training

Scientific Education Developer, Cradle Academy

Clinical Research Associate

Associate Director, Global Medical Affairs Rare Haemato-Renal Disorders

Senior Data Scientist, GeminiApp, DeepMind

Science Communications Associate

Associate to the Directors at ETH AI Center

INDUSTRIAL PHD CANDIDATE CANCER IMMUNOTHERAPY / BISPECIFIC ANTIBODIES (BIOLOGY GROUP)

Student job “Project Assistant”

European Director, Nutrition & Scientific Affairs

PhD Position in 'Neuroscience of Motivation in Neurorehabilitation'

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

Medical Science Liaison Manager (MSL) and Medical Advisor - Switzerland

EU Project Communications Manager

Director, Policy, Advocacy and Government Affairs Switzerland

Strategy and Transformation Consultant - Consumer Product and Retail Sector

Scientific Education Manager (m/f/x)* Dental Solutions EMEA

(Junior) Strategy and Transformation Consultant

Ich möchte aktuelle Job-E-Mails für Stellen als scientific communication in zürich, zh erhalten

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