Principal Computational Biologist - RWD

Principal Computational Biologist – RWD

Austria - Hybrid

Are you passionate about using data to revolutionise cancer treatment? Join us in our mission to harness real-world oncology data and multi-omics insights to accelerate therapeutic discovery and improve patient outcomes globally

.We are seeking a computational biologist to join a cross-functional team dedicated to driving innovation in oncology. You will play a pivotal role in integrating real-world data (RWD) with advanced analytics to uncover novel biomarkers, therapeutic targets, and resistance mechanisms - directly impacting the future of cancer care.

Key Responsibilities:

• Analyse and interpret clinical real-world oncology data and multi-omics datasets to uncover insights and inform strategic decision-making.
• Identify relevant patient cohorts for hypothesis validation and support of clinical development programs.
• Design and implement advanced statistical and machine learning/artificial intelligence models for biomarker discovery, therapeutic target identification, and patient stratification.
• Present complex data and insights in a clear and impactful manner to both technical and non-technical stakeholders through reports, visualizations, and presentations.
• Collaborate across disciplines—working closely with biologists, clinicians, and bioinformaticians—to integrate and analyse diverse data types.
• Lead and cultivate scientific collaborations with academic institutions and industry partners.

Qualifications:

• Ph.D in Computational Biology, Bioinformatics, or a related life-sciences field.
• Minimum of 3 years’ experience in a biotech or industry setting.
• Proven expertise in handling both real-world patient data and oncology data
• Proficient in programming with R or Python; experienced with version control tools such as Git.
• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication skills, with the ability to clearly convey complex concepts to diverse audiences.

Why Join?

• Work on cutting-edge data science challenges that impact real patients.
• Great opportunities to work with world class data
• Personal development opportunities
• Enjoy flexible work arrangements and a supportive environment.