13 meilleures offres (computing systems engineer) (à pourvoir)

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Google —Zürich, ZH
- 100%
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- C++
- Niveau Licence
il y a 5 jours
Standard Custom Design Engineer
Synthara AG —Zürich, ZH
- Niveau Doctorat
- Niveau Master
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Software Engineer III, Data Protection Acceleration
Google —Zürich, ZH
- 100%
- Informatique
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il y a 4 jours
DevOps Engineer III (Data Platform)
Bundesverwaltung - Eidgenössisches Departement für Verteidigung, Bevölkerungsschutz und Sport VBS —Wald, ZH
- Anglais
- Linux
Electronic Design Engineer, Principal
M/A Com Technolgy Solutions —Zürich, ZH
- Niveau Doctorat
- Microsoft Office
- Niveau Master
il y a 4 jours
Senior Data Scientist
Procter & Gamble —Genève, GE
- 100%
- Bar
- Niveau Doctorat
- Anglais
- Caisse de pension
Senior Compiler Engineer
NextSilicon —Zürich, ZH
- Niveau Doctorat
- Niveau Master
- C++
Postuler rapidement
Principal Cadence Layout Engineer
M/A Com Technolgy Solutions —Zürich, ZH
- Niveau Licence
il y a 4 jours
Research Fellowship: Applied Physics and Engineering
CERN —Genève, GE
- De 7 004 CHF à 7 425 CHF par mois
- 100%
- Niveau Doctorat
- Anglais
- Recherche
- Formation sur place
Postuler rapidement
Senior Marketing Manager
Domera Labs —Zürich, ZH
- De 65 000 CHF à 100 000 CHF par an
- 100%
- Leadership
- Python
Postuler rapidement
il y a 2 jours
Software Engineer II, AI Scheduling
Google —Zürich, ZH
- 100%
- Java
- Niveau Master
- C++
il y a 1 jour
Software Engineer III, Infrastructure, Account and Device Integrity
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Niveau Master
il y a 1 jour

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R&D Scientist – Scientific Data Analytics (d/f/m)

Genedata -
Bâle, BS

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%

Qualifications

Niveau Doctorat
Analyse de données
Java
Esprit d'analyse
Scrum
Python

Description complète du poste

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Genedata, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

The biopharmaceutical industry is undergoing a transformation, requiring advanced digitalization to adopt data- and AI-driven approaches and develop innovative therapies quicker. Genedata’s market-leading enterprise software fuels this transformation by enabling leading biopharma, biotech, and contract research as well as contract development and manufacturing organizations worldwide to automate processes and leverage data analytics and AI, so they can deliver breakthrough therapies to patients faster. Join us and help scientists around the world accelerate the pace of biopharma R&D.

Learn about the Danaher Business System which makes everything possible.

The R&D Scientist – Scientific Data Analytics (d/f/m) is responsible for designing, prototyping, and implementing advanced scientific data analysis workflows that extend the capabilities of Genedata Screener® and Genedata Chromatics®, translating cutting-edge scientific concepts into robust enterprise software solutions. This role operates at the intersection of science, data analytics, and software engineering, supporting pharmaceutical scientists in data-driven decision-making.

This position reports to the Head of Science and is part of the Screener business unit located in Basel, Switzerland and will be an on-site role.

In this role, you will have the opportunity to:

Conceptualize, design, prototype, and implement scientific data analysis workflows for Genedata Screener®.
Translate advanced scientific methods into enterprise-grade software components and licensable modules.
Collaborate in an agile/SCRUM environment with software engineers to deliver robust, production-ready solutions.
Engage with pharmaceutical scientists to translate their requirements into automated data analysis workflows.
Analyze experimental life science data, perform feasibility studies, and ensure mathematical and statistical correctness of implemented methods.

The essential requirements of the job include:

PhD in physics, biophysics, applied mathematics, data science, bioinformatics, or a related quantitative field.
Multiple years of experience in scientific programming and workflow development.
Demonstrated experience with life science data analysis (e.g., high-throughput screening, dose-response analysis, biophysical assays).
Proficiency in Python and scientific computing libraries (e.g., NumPy, SciPy, pandas).
Experience delivering software solutions used by end users in a professional or enterprise setting.

It would be a plus if you also possess previous experience in:

Java programming.
Working in agile/SCRUM development environments.
Industry background in pharmaceutical, biotech, or contract research organizations.

#LI-KK1

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

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computing systems engineer emplois

R&D Scientist – Scientific Data Analytics (d/f/m)

Senior Software Engineer, Gemini and Search

Standard Custom Design Engineer

Software Engineer III, Data Protection Acceleration

DevOps Engineer III (Data Platform)

Electronic Design Engineer, Principal

Senior Data Scientist

Senior Compiler Engineer

Principal Cadence Layout Engineer

Research Fellowship: Applied Physics and Engineering

Senior Marketing Manager

Software Engineer II, AI Scheduling

Software Engineer III, Infrastructure, Account and Device Integrity

Other jobs to consider

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : computing systems engineer

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