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Open nowPosted 8 days ago

Scientist Data Modeller

EURES job mobility portal370,340 open roles

Where
Delft en Westland, Netherlands
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Your applicationOpen nowScientist Data ModellerEURES job mobility portal · Delft en Westland, Netherlands

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 8 days ago

EURES job mobility portal median: 3 days open

The posting

dsm-firmenich (Assoc) Scientist Data Modeller (f/m/d) - dsm-firmenich - Delft dsm firmenich dsm-firmenich Jobid=626576011352080912 (0.0149) ppLocation: Delft, Netherlands or Kaiseraugst, Switzerland /ppWe are seeking a highly skilled and experienced Data Modeller to join our Data Science AI Department, in a team focused on Clinical / Real World Data. In this role, you will develop data models for pre‑clinical/clinical/RD environments, embedded in data ecosystems, ensuring data quality and regulatory compliance, and their integration across the diverse dsm‑firmenich scientific domains. The ideal candidate has a strong data modelling background, solid understanding of data engineering principles and data management/governance best practices, an affinity for working in multidisciplinary teams, and a passion for data‑driven decision‑making. This role will be in an international setting, working within a global company, providing the opportunity to collaborate with diverse teams across various regions. /ph3Responsibilities /h3ulliDesign logical and physical enterprise data models that support analytics, reporting, and operational use cases across clinical, pre‑clinical trial domains and other RD scientific environments, as well as their integration in data ecosystems. /liliImplement and maintain data modelling architectures, including hubs, links, satellites, and business vault patterns to enable auditable, historized, and scalable data integration. /liliDevelop and deploy comprehensive data management strategies and data governance frameworks, and ensure compliance with FAIR principles and good data management practices. /liliSupport the implementation of data quality frameworks and establish quality rules to ensure data accuracy and reliability, following data standards in regulated environments. /liliSupport the implementation of data management tools, ETL data pipelines and platforms, to support data processing, governance and qua...

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