Team Lead Applied AI and Analytics (m/f/d)
The position
As part of our growing Computational Innovation (#ComputationalInnovation) function you can step into a world of digital innovation, data-driven approaches, and cutting-edge computational science at Boehringer Ingelheim, where you will be part of a global, multicultural, and open-minded team.
We are looking for a visionary leader to guide our Applied AI and Analytics efforts within the Computational Innovation Team in Vienna, Austria. In this position, you will establish and mentor a team of specialists dedicated to advancing machine learning and AI approaches that enhance decision‑making across the drug discovery continuum.
Your group will work alongside computational biologists, data engineers, and therapeutic area experts to unlock value from diverse large‑scale datasets, including disease models, patient records, and perturbation screens.
By implementing and applying advanced analytical tools and models, your team will help deepen our understanding of disease mechanisms, support the identification of new therapeutic opportunities, and contribute to defining patient‑relevant biomarkers, with a strong emphasis on oncology.
This role offers the chance to shape a rapidly evolving capability, introduce state‑of‑the‑art methodologies, and drive high‑impact analytical solutions that accelerate our research and strengthen our discovery pipeline.
Tasks & responsibilities
Lead a team of scientists focused on applied AI/ML
Stay at the forefront of AI/ML innovations and identify opportunities to apply novel methods in an agile, impactful manner
Translate complex data into actionable hypotheses for target discovery, biomarker identification, patient stratification, and treatment effect prediction
Collaborate closely with the Data Excellence team and computational cancer biologists to ensure seamless integration of AI-driven insights and tools
Adapt and implement advanced analytical models to analyze multi-modal biological and clinical data
Requirements
Ph.D. or similar degree in Computational Biology, Bioinformatics, Computer Science, or a related field
Proven track record in applying AI/ML methods to biological or biomedical data
Strong leadership skills with experience managing interdisciplinary teams
Deep understanding of omics data, biomarker discovery, and translational research.
Excellent communication and collaboration skills to work across global, cross-functional teams, ability to drive projects in an agile environment
Flexible working time models: home office and flexible working hours, depending on department and position – many things are possible with us.
Additional days off (“bridge-days”): more free time through additional days off to bridge single working days between bank holidays and the weekend – without having to use vacation days.
Canteen & Cafeteria: whether it's coffee and croissant for breakfast, various lunch menus or snacks in between – our subsidized staff restaurant & cafeteria has something for every taste including vegetarian and vegan options.
Learning & development: diverse training and development opportunities for your personal and professional growth. Because: you never stop learning.
Health promotion: health is important to us – that's why we offer different programs to promote physical and mental health.
Public transport ticket: we encourage our employees to use public transport on their daily way to work. Costs for public transport? We cover them!
The remuneration for this position starts at EUR 108.000 gross annual target salary per year (full time). The actual salary package depends on professional experience and qualifications. We will be happy to discuss further details in person.
We are looking forward to receiving your application online!
By uploading your application documents via our application portal, we can treat your data confidentially and in compliance with the GDPR.
Do you have any additional questions about the position? Your HR Recruiting Manager for this position is Martina Prenn.
On our career site you will find further information about Boehringer Ingelheim as an employer as well as information about the application process and our different departments.
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