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Quality Medicine Data Scientist(m/w/x)
Description
You will lead advanced analytics initiatives by applying machine learning and AI to large-scale datasets, helping the company proactively identify quality risks and drive strategic decisions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master’s, PhD in quantitative discipline, or related
- •Experience in full-cycle data science projects
- •Experience in pharmaceutical quality and GxP
- •Knowledge of AI/ML and causal inference
- •Proficiency in R, Python, or similar
- •Experience with git and Posit workbench
- •Clear presentation of complex analytical findings
- •Collaboration across multidisciplinary teams
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Lead data science initiatives within the Quality Medicine function
- •Address complex analytical challenges regarding quality risk
- •Apply machine learning and causal inference methodologies
- •Utilize artificial intelligence and natural language processing
- •Extract insights using advanced statistical modeling
- •Develop analytical frameworks by integrating diverse data sources
- •Create new hypotheses to support quality and compliance
- •Uncover hidden patterns and risks in large-scale datasets
- •Enhance operational efficiency through proactive data exploration
- •Translate complex data into actionable insights for cross-functional teams
- •Support quality-related decision processes as a key analytical resource
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Home office
- •Flexible working hours
More Vacation Days
- •Additional bridge-days off
Free or Subsidized Food
- •Subsidized staff restaurant
- •Subsidized cafeteria
- •Vegetarian and vegan options
Learning & Development
- •Learning and development opportunities
Mental Health Support
- •Physical and mental health promotion
Public Transport Subsidies
- •Public transport ticket coverage
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Quality Medicine Data Scientist(m/w/x)
The AI Job Search Engine
Description
You will lead advanced analytics initiatives by applying machine learning and AI to large-scale datasets, helping the company proactively identify quality risks and drive strategic decisions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master’s, PhD in quantitative discipline, or related
- •Experience in full-cycle data science projects
- •Experience in pharmaceutical quality and GxP
- •Knowledge of AI/ML and causal inference
- •Proficiency in R, Python, or similar
- •Experience with git and Posit workbench
- •Clear presentation of complex analytical findings
- •Collaboration across multidisciplinary teams
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Lead data science initiatives within the Quality Medicine function
- •Address complex analytical challenges regarding quality risk
- •Apply machine learning and causal inference methodologies
- •Utilize artificial intelligence and natural language processing
- •Extract insights using advanced statistical modeling
- •Develop analytical frameworks by integrating diverse data sources
- •Create new hypotheses to support quality and compliance
- •Uncover hidden patterns and risks in large-scale datasets
- •Enhance operational efficiency through proactive data exploration
- •Translate complex data into actionable insights for cross-functional teams
- •Support quality-related decision processes as a key analytical resource
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Home office
- •Flexible working hours
More Vacation Days
- •Additional bridge-days off
Free or Subsidized Food
- •Subsidized staff restaurant
- •Subsidized cafeteria
- •Vegetarian and vegan options
Learning & Development
- •Learning and development opportunities
Mental Health Support
- •Physical and mental health promotion
Public Transport Subsidies
- •Public transport ticket coverage
About the Company
Boehringer Ingelheim RCV GmbH & Co KG
Industry
Pharmaceuticals
Description
Das Unternehmen stellt sicher, dass regulatorische Anforderungen im Medizinbereich eingehalten werden.
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