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Team Lead Applied AI and Analytics(m/w/x)
Description
You will lead a specialized team in Vienna, transforming complex biological data into AI-driven insights that directly accelerate drug discovery and improve patient stratification.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Ph.D. in Computational Biology, Bioinformatics, Computer Science, or related field
- •Experience applying AI/ML to biological or biomedical data
- •Leadership skills and interdisciplinary team management experience
- •Understanding of omics data, biomarker discovery, and translational research
- •Communication, collaboration, and agile project management skills
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Establish and mentor a team of AI and machine learning specialists
- •Lead scientists focused on applied AI and machine learning
- •Identify opportunities to apply novel AI methods in an agile manner
- •Stay at the forefront of AI and machine learning innovations
- •Translate complex data into actionable hypotheses for target discovery
- •Identify biomarkers and predict treatment effects through data analysis
- •Collaborate with Data Excellence and computational cancer biology teams
- •Integrate AI-driven insights and tools into existing workflows
- •Implement advanced analytical models for multi-modal biological data
- •Analyze clinical data using sophisticated machine learning approaches
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
- •Diverse training and development
Healthcare & Fitness
- •Health promotion programs
Public Transport Subsidies
- •Public transport ticket coverage
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Team Lead Applied AI and Analytics(m/w/x)
The AI Job Search Engine
Description
You will lead a specialized team in Vienna, transforming complex biological data into AI-driven insights that directly accelerate drug discovery and improve patient stratification.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Ph.D. in Computational Biology, Bioinformatics, Computer Science, or related field
- •Experience applying AI/ML to biological or biomedical data
- •Leadership skills and interdisciplinary team management experience
- •Understanding of omics data, biomarker discovery, and translational research
- •Communication, collaboration, and agile project management skills
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Establish and mentor a team of AI and machine learning specialists
- •Lead scientists focused on applied AI and machine learning
- •Identify opportunities to apply novel AI methods in an agile manner
- •Stay at the forefront of AI and machine learning innovations
- •Translate complex data into actionable hypotheses for target discovery
- •Identify biomarkers and predict treatment effects through data analysis
- •Collaborate with Data Excellence and computational cancer biology teams
- •Integrate AI-driven insights and tools into existing workflows
- •Implement advanced analytical models for multi-modal biological data
- •Analyze clinical data using sophisticated machine learning approaches
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
- •Diverse training and development
Healthcare & Fitness
- •Health promotion programs
Public Transport Subsidies
- •Public transport ticket coverage
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.
- Boehringer Ingelheim
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