Data scientist in Oncology

Your position

The successful candidate will play a central role in analyzing complex, image-based datasets to generate clinically actionable insights. Your main responsibilities include:

• Process and analyze image-based drug screening and imaging mass cytometry (IMC) data.
• Engineer software solutions and manage the clinical data pipeline.
• Apply advanced image analysis techniques, including segmentation, feature extraction, and quantification of cellular phenotypes and spatial patterns.
• Develop and implement AI/ML models (e.g., deep learning approaches for segmentation, classification, or predictive modeling) tailored to biomedical imaging data.
• Integrate multi-modal data to identify biomarkers and inform treatment decisions in a translational context.
• Create and maintain custom scripts and pipelines to automate and streamline data processing workflows.
• Summarize key findings in concise, actionable reports for clinical collaborators.
• Collaborate closely with, biologists, and other data experts to interpret results and refine analyses.
• Ensure rigorous data quality control, reproducibility, and critical evaluation of results.

Your profile

• PhD degree or equivalent expertise in data science, bioinformatics, computational biology, computer science, physics, engineering, or a related quantitative discipline.
• Strong programming skills in R and Python (preferred) with experience in data analysis and scripting.
• Solid knowledge of statistical methods and data visualization.
• Experience working with high-performance computing environments and Git for collaborative development.
• Experience deploying AI/ML models in production or research environments, and with deep learning frameworks such as PyTorch or TensorFlow.
• Strong team spirit, excellent communication skills (English), and ability to work in a multidisciplinary environment.
• High motivation, critical and meticulous approach to data handling and interpretation.
• Genuine interest in translational science and bridging computational methods with clinical applications.
• Background in cancer biology or oncology research is a plus. Experience in software development is a plus. Experience with analysis of sequencing data is a plus. Experience with job scheduler (e.g., SLURM) is a plus.

We offer you

A stimulating, challenging and interdisciplinary translational research environment, state-of-the-art technologies and attractive employment conditions. The DBM is an international institute pursuing basic, translational and clinical research, with access to cutting-edge core facilities and in the heart of multicultural city of Basel. Your position will be embedded in the lab of Prof. Bentires-Alj but you will work in a consortium working on different types of cancer.

Lab website: https://bentireslab.org/