Principal Scientist (m/f/d) Computational Cancer Biology Full-time

The Position

We are seeking a Principal Scientist – Computational Cancer Biology to join our team in Vienna, Austria. As part of our growing Computational Innovation function, you will join a global, multicultural, and open-minded team driving digital innovation and cutting-edge computational science. In this role, you will drive innovation in computational oncology by advancing mechanism-of-action insights, refining patient segmentation through biomarkers and generating drug-resistance hypotheses. You will collaborate closely with cross-disciplinary research, AI/ML, and data engineering teams to analyze large-scale pre-clinical and clinicogenomic datasets.

Tasks & Responsibilities

1. Propose, design, and execute analyses on integrated genomic, transcriptomic, imaging, and clinical data to derive actionable insights for drug mode-of-action understanding, disease biology, biomarker-driven patient selection, resistance mechanisms and rational drug combination hypothesis.
2. Partner with cross-functional internal teams and drive external collaborations, identifying and translating knowledge gaps into key questions and technical requirements for well-scoped analytical plans.
3. Demonstrate strong project-level leadership and proactively drive computational work streams across oncology programs in a dependable and time-effective manner; provide mentorship to junior scientists and ensure excellence in execution, documentation and delivery.
4. Communicate methods and results to both technical and non-technical stakeholders, presenting scientific insights and proposed strategies in relevant portfolio meetings.
5. Evaluate, adapt and implement new analysis methods grounded in best computational practices and an applied AI/ML toolbox, contributing to reusable data and code alongside AI/ML, genetics and data science/engineering teams.

Requirements

• Advanced degree (Ph.D. or equivalent) in computational biology, biology, medicine or another relevant life-science field, combined with 2+ years of industry or postdoctoral experience in oncology or cancer biology.
• Strong foundation in modern computational data analysis methods and familiarity with oncology-related public datasets.
• Demonstrated ability to work with real-world patient data, epidemiological datasets and multi-omics data in research or pre-clinical settings.
• Proficiency in R and/or Python, including experience with widely used computational biology and scientific computing libraries.
• Excellent critical thinking, with the ability to work both independently and collaboratively, to communicate complex technical content to multidisciplinary teams.

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 minimum gross annual salary for this position is € 90.900 per year (full-time) according to the classification in the collective bargaining agreement for the chemical industry. Depending on professional experience and qualifications, we offer an overpayment.