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(Associate) Principal Scientist Bioinformatics Infrastructure Engineer, Agentic AI(m/w/x)
Designing and implementing scalable bioinformatics data infrastructure for large-scale omics datasets. Expertise in HPC, cloud, and containerization required. Flexible working hours, home office, and additional days off.
Requirements
- MSc or PhD in bioinformatics, computational biology, computer science, or related quantitative field
- Equivalent depth through practical experience if no PhD
- Designing and operating bioinformatics data infrastructure for large-scale omics datasets
- Strong expertise in HPC and cloud environments
- Expertise in containerization and workflow orchestration
- Building agentic AI systems (autonomous agents, tool use, multi-step planning)
- Translating scientific problems into safe, compliant, production-grade infrastructure
- Using modern agent frameworks
- Experience with oncology or therapeutic-area datasets
- Excellent communication skills
- Collaborative mindset
- Effective work in interdisciplinary teams
Tasks
- Design scalable bioinformatics data infrastructure
- Implement data models, storage, and compute environments
- Maintain data infrastructure for full data lifecycle
- Engineer data processing and integration pipelines
- Align pipelines with FAIR principles
- Build infrastructure components for agentic AI
- Operate data access layers and APIs
- Enable secure biomedical data integration
- Support retrieval-augmented generation and memory
- Execute multi-step bioinformatics workflows
- Take ownership of infrastructure services
- Ensure reliability and observability
- Document infrastructure services thoroughly
- Drive continuous improvement in production
- Collaborate with computational biology teams
- Translate scientific workflows into infrastructure
- Maintain high scientific rigor
- Work with AI/ML teams to ensure agent compatibility
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- HPC
- cloud environments
- containerization
- workflow orchestration
- agentic AI systems
- autonomous agents
- tool use
- multi-step planning
- agent frameworks
Benefits
Flexible Working
- Flexible working time models
- Home office
- Flexible working hours
More Vacation Days
- Additional days off
Free or Subsidized Food
- Subsidized staff restaurant
- Canteen
Learning & Development
- Diverse training and development opportunities
Healthcare & Fitness
- Health promotion programs
Public Transport Subsidies
- Public transport ticket coverage
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(Associate) Principal Scientist Bioinformatics Infrastructure Engineer, Agentic AI(m/w/x)
Designing and implementing scalable bioinformatics data infrastructure for large-scale omics datasets. Expertise in HPC, cloud, and containerization required. Flexible working hours, home office, and additional days off.
Requirements
- MSc or PhD in bioinformatics, computational biology, computer science, or related quantitative field
- Equivalent depth through practical experience if no PhD
- Designing and operating bioinformatics data infrastructure for large-scale omics datasets
- Strong expertise in HPC and cloud environments
- Expertise in containerization and workflow orchestration
- Building agentic AI systems (autonomous agents, tool use, multi-step planning)
- Translating scientific problems into safe, compliant, production-grade infrastructure
- Using modern agent frameworks
- Experience with oncology or therapeutic-area datasets
- Excellent communication skills
- Collaborative mindset
- Effective work in interdisciplinary teams
Tasks
- Design scalable bioinformatics data infrastructure
- Implement data models, storage, and compute environments
- Maintain data infrastructure for full data lifecycle
- Engineer data processing and integration pipelines
- Align pipelines with FAIR principles
- Build infrastructure components for agentic AI
- Operate data access layers and APIs
- Enable secure biomedical data integration
- Support retrieval-augmented generation and memory
- Execute multi-step bioinformatics workflows
- Take ownership of infrastructure services
- Ensure reliability and observability
- Document infrastructure services thoroughly
- Drive continuous improvement in production
- Collaborate with computational biology teams
- Translate scientific workflows into infrastructure
- Maintain high scientific rigor
- Work with AI/ML teams to ensure agent compatibility
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- HPC
- cloud environments
- containerization
- workflow orchestration
- agentic AI systems
- autonomous agents
- tool use
- multi-step planning
- agent frameworks
Benefits
Flexible Working
- Flexible working time models
- Home office
- Flexible working hours
More Vacation Days
- Additional days off
Free or Subsidized Food
- Subsidized staff restaurant
- Canteen
Learning & Development
- Diverse training and development opportunities
Healthcare & Fitness
- Health promotion programs
Public Transport Subsidies
- Public transport ticket coverage
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Boehringer Ingelheim
Industry
Science
Description
The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.
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