Booz Allen Hamilton
Data Scientist(m/w/x)
Full-timeOn-siteSenior
from USD 225,000 / year
Wiesbaden
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BOBoehringer Ingelheim
(Senior) Data Scientist(m/w/x)
Ingelheim am Rhein, Biberach
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Computational modeling and Agentic AI implementation for drug discovery in laboratory informatics. Proficiency in Python, ML frameworks, and advanced prompt engineering required. Focus on large language models and data structures.
Requirements
- Master's in relevant field or Bachelor's with more experience
- Beneficial PhD degree
- Strong proficiency in Python and ML frameworks
- Beneficial Laboratory Notebook Informatics experience
- Understanding of data structures and algorithms
- Analytical and strong problem-solving skills
- Excellent English and communication skills
- Relevant data science and GenAI experience
- Expertise in software development practices
Tasks
- Design and build computational models
- Discover insights and identify Agentic AI opportunities
- Manage Laboratory Notebook Informatics
- Provide leadership for large language model topics
- Execute advanced prompt engineering
- Develop and mentor junior colleagues
- Solve complex problems using machine learning and GenAI
- Lead data science solution development and deployment
- Deliver cross-functional projects with internal and external parties
- Collaborate with stakeholders to understand technical constraints
- Implement and deploy scalable data solutions
- Network with domain experts to promote knowledge exchange
- Establish internal and external data science partnerships
- Stay current with AI and machine learning advancements
- Apply cutting-edge techniques to improve model performance
- Strategically guide the organization toward AI business potential
- Develop extensive pharmaceutical domain knowledge
- Research best practices and conduct experiments
- Collaborate with industry leaders to provide thought leadership
Work Experience
approx. 1 - 4 years
Education
Bachelor's degreeORMaster's degree
Languages
English – Business FluentGerman – Basic
Tools & Technologies
PythonScikit-learnTensorFlowPyTorchLLMsAgentic AIVector DatabasesDocument extractionAgent Communication ProtocolsGANsVAEsDiffusion ModelsGitCI/CDDockerKubernetes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Boehringer Ingelheim and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BOBoehringer Ingelheim
(Senior) Data Scientist(m/w/x)
Ingelheim am Rhein, Biberach
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Computational modeling and Agentic AI implementation for drug discovery in laboratory informatics. Proficiency in Python, ML frameworks, and advanced prompt engineering required. Focus on large language models and data structures.
Requirements
- Master's in relevant field or Bachelor's with more experience
- Beneficial PhD degree
- Strong proficiency in Python and ML frameworks
- Beneficial Laboratory Notebook Informatics experience
- Understanding of data structures and algorithms
- Analytical and strong problem-solving skills
- Excellent English and communication skills
- Relevant data science and GenAI experience
- Expertise in software development practices
Tasks
- Design and build computational models
- Discover insights and identify Agentic AI opportunities
- Manage Laboratory Notebook Informatics
- Provide leadership for large language model topics
- Execute advanced prompt engineering
- Develop and mentor junior colleagues
- Solve complex problems using machine learning and GenAI
- Lead data science solution development and deployment
- Deliver cross-functional projects with internal and external parties
- Collaborate with stakeholders to understand technical constraints
- Implement and deploy scalable data solutions
- Network with domain experts to promote knowledge exchange
- Establish internal and external data science partnerships
- Stay current with AI and machine learning advancements
- Apply cutting-edge techniques to improve model performance
- Strategically guide the organization toward AI business potential
- Develop extensive pharmaceutical domain knowledge
- Research best practices and conduct experiments
- Collaborate with industry leaders to provide thought leadership
Work Experience
approx. 1 - 4 years
Education
Bachelor's degreeORMaster's degree
Languages
English – Business FluentGerman – Basic
Tools & Technologies
PythonScikit-learnTensorFlowPyTorchLLMsAgentic AIVector DatabasesDocument extractionAgent Communication ProtocolsGANsVAEsDiffusion ModelsGitCI/CDDockerKubernetes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Boehringer Ingelheim and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Boehringer Ingelheim
Industry
Pharmaceuticals
Description
The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.
Not a perfect match?
- Booz Allen Hamilton
Data Scientist(m/w/x)
Full-timeOn-siteSeniorfrom USD 225,000 / yearWiesbaden - 3167 MSDAnimalHealthInnovation
Senior Scientist, Preclinical Development in Animal Health with Focus on Data-Management(m/w/x)
Full-timeOn-siteSeniorSchwabenheim an der Selz - BioNTech SE
Associate Director Scientific/Medical Writing(m/w/x)
Full-timeOn-siteSeniorMainz - MSDAnimalHealthInnovation
Sr. Scientist, Preclinical Development in Animal Health with Focus on Immunology(m/w/x)
Full-timeOn-siteExperiencedSchwabenheim an der Selz - BioNTech SE
Statistical Expert CMC - Analytical Development(m/w/x)
Full-timeOn-siteSeniorMainz