20 beste Stellen als data science in lausanne, vd – aktuell auf Personalsuche

Intern -Quality Data Analytics
Incyte Corporation —Morges, VD
- 100%
- Englisch
- Master
- Praktikum
Lab Automation Engineer
Adaptyv —Lausanne, VD
- 100%
- Laborerfahrung
- Erfahrung in der IT
- Python
1 Tag
Data Analyst / Data Engineer
Kainjoo SA —Morges, VD
- 100%
- Homeoffice
- Englisch
- Master
- SQL
Internship - Data Scientist - AI Solutions for Manufacturing (m/f/d)
Merck KGaA —Aubonne, VD
- Analysefähigkeit
- Softwareentwicklung
- Praktikum
- Aufstiegsmöglichkeiten
Founders Associate
Adaptyv —Lausanne, VD
- 100%
- Laborerfahrung
- Python
3 Tage
CEO
Luxtelligence SA —St-Sulpice VD, VD
- Ab CHF 120’000 pro Jahr
- Hybrides Arbeiten
- Master
- Betriebswirtschaftslehre
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
10 Tage
Business Operations (Intern / Working Student)
Adaptyv —Lausanne, VD
- 100%
- Laborerfahrung
- Master
- Bachelor
3 Tage
Scientist, Analytical Characterization (HPLC & Mass Spec)
Adaptyv —Lausanne, VD
- 100%
1 Tag
PhD position (100%) in Information Systems: GenAI and Agentic AI for Data Management
CDQ AG —Lausanne, VD
- 100%
- Doktorat
- Schreibfähigkeiten
- Englisch
Associate Field Service Engineer (m/f/d) Mass Spectrometry and Capillary Electrophoresis
SCIEX —Lausanne, VD
- 100%
- Englisch
- Bachelor
Analyst IT Consulting 80–100%
Eraneos Switzerland AG —Lausanne, VD
- 100%
- Englisch
- Master
- Bachelor
Post-Training Engineer - Apertus
emploi.epfl.ch —Lausanne, VD
- Homeoffice
- Doktorat
- Forschungserfahrung
- Master
P2614 - Pharmaceutical Quality (pQM) Specialist
Debiopharm —Lausanne, VD
- 100%
- Englisch
- Analysefähigkeit
- Bachelor
Direkt bewerben
PhD Position in Interpretable AI for Coupled Multiphysics of Geomaterials
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Englisch
- Master
3 Tage
AI & Computer Vision Intern - Data augmentation
Harmattan AI —Lausanne, VD
- Englisch
- Master
- C++
Senior Veeva Systems Specialist Pharma
Axepta —Lausanne, VD
- Management-Erfahrung
- Salesforce
- Englisch
1 Tag
Chemist - Machine-Readable Features Laboratory
Sicpa —Prilly, VD
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
HW/SW Integration Test Facility Software Engineer
Expleo —Lausanne, VD
- Laborerfahrung
- Windows
- C++
AI Solutions Engineer
ERM Group —Lausanne, VD
- 100%
- Master
- SQL
- AWS
10 Tage
Green Labs Project Manager
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Schreibfähigkeiten
- Datenanalyse
10 Tage

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Intern -Quality Data Analytics

Incyte Corporation -
Morges, VD

Jetzt bewerben

Details zur Stelle

100% | Praktikum

Qualifikationen

Französisch
Englisch
Master
Risikomanagement
Kommunikationsfähigkeit

Vollständige Stellenbeschreibung

Overview:

SUMMARY

The Intern will be part of the Quality Assurance group (QA), Quality Systems improvement Team responsible for the Quality oversight of the company Pharmaceutical Quality System (PQS) across all GxP areas.

Incyte Quality has built in-house data analytics capabilities with the objective to automate processes and enhance Quality decisions, levering data from multiple electronic systems.

In order to strengthen the data analytics capabilities, Incyte is looking for an intern whose mission will be to support the Quality Assurance team in enhancing the Quality and consistency of the source data

Duties And Responsibilities

Support comprehensive gap analysis of data quality across key Quality Management processes, including at a minimum Supplier, Deviation, Change Control, and CAPA management to assess the current level of data quality and harmonization.
Identify data elements and metadata where alignment, consistency, or definition is insufficient across sites, systems, or workflows, and assess the associated business and compliance risks.
Benchmark against internal best practices and industry standards to determine the expected level of data robustness, completeness, and documentation quality.
Propose a data remediation strategy, including recommended best practices for documenting, maintaining, and governing critical quality data elements.
Correct data quality gaps
Draft or update applicable documents, such as work instructions, and job aids supporting harmonized documentation practices.
Collaborate with crossfunctional Quality teams to validate findings, refine recommendations, and ensure operational feasibility. ‑functional stakeholders (
Prepare and issue a final report and presentation summarizing insights, identified gaps, remediation measures, and recommendations for leadership.‑driven report and presentation

Requirements

Student in Bachelor or Master Degree: Digital / Computer sciences / Analytics / information system / Engineering / AI or equivalent
Skills in Data analytics is a must
Knowledge in Risk management and Compliance is a plus
full time six month internship
Good Organizational and communication skills, diplomacy, and commitment,
Demonstrate ability to write technical documents
English fluency written and B2 spoken (the company language), French is an asset.

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

We Respect Your Privacy

Learn more at: http://www.incyte.com/privacy-policy

The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate.

During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You can learn more about this process here.

You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work.

You can learn more about Incyte’s data protection practices here. By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte’s data protection officer, and your supervisory authority (if applicable).

Please contact [email protected] if you have any questions or concerns or would like to exercise your rights.

Jetzt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als data science in lausanne, vd erhalten

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