Principal Scientist (m/f/d) Computational Cancer Biology
Boehringer Ingelheim RCV GmbH & Co KGOur Company
At Boehringer Ingelheim we develop breakthrough therapies and innovative healthcare solutions in areas of unmet medical need for both humans and animals. As a family owned company, we focus on long-term performance. We believe that, if we have talented and ambitious people who are passionate about innovation, there is no limit to what we can achieve; after all, we started with just 28 people. Now, we are powered by 50,000 employees globally who nurture a diverse, collaborative and inclusive culture.
The position
At Boehringer Ingelheim, we work across the full R&D spectrum to develop innovative therapies that improve patients’ lives. As part of a growing Computational Oncology team
(@computationalinnovation), you will play a key role in identifying and validating novel therapeutic targets. You will integrate multimodal oncology data and apply advanced computational methods to generate insights and support early-stage drug discovery.
Tasks & responsibilities
- Design and implement innovative, robust computational and ML/AI workflows to support oncology target discovery and expand data-driven in-house capabilities.
- Lead internal and external scientific collaborations, positioning novel targets within defined patient cohorts and proposing clear validation strategies.
- Demonstrate strong project leadership by proactively driving computational workstreams across early oncology programs and delivering reliable, timely outcomes.
- Foster effective cross-functional collaboration across computational, biology, clinical, and chemistry teams to strengthen portfolio entry proposals.
- Communicate complex scientific insights clearly through well-structured analyses, visualizations, and presentations, enabling informed decision-making across diverse audiences.
Requirements
- PhD (or equivalent) in computational biology, bioinformatics, cancer biology, medicine, or a related quantitative life science discipline.
- 3+ years of experience in oncology-focused research within biotech or pharmaceutical environments.
- Strong expertise in modern computational data analysis methods, particularly in target discovery.
- Proficient programming skills in Python or R, with experience in version control tools (e.g., Git) in collaborative environments.
- Proven ability to work independently and within multidisciplinary teams, with strong problem-solving skills and the ability to clearly communicate complex scientific findings.
Your Benefits
- 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 81,810 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 Magdalena Dzieweczynska
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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