Post Doctorate Scientist

Stellenbeschreibung

**Anstellungsart:** Vollzeit
P At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. /ph3 The Position /h3p The ML for Biosystems Engineering group led by Jonas Fleck at the Institute of Human Biology (IHB) in Basel, Switzerland is seeking a Postdoctoral Researcher to develop machine learning methods for organoid phenotyping and high-throughput screening. Join us to develop next-generation computational methods for drug discovery with complex human model systems. /ph3 The Opportunity /h3p You will lead a research project developing computational methods to address important challenges in organoid engineering and drug discovery. Working in a highly collaborative environment with outstanding computational and experimental scientists, you'll develop state-of-the-art statistical and machine learning methods to tackle challenging questions in human biology and disease. /pp You'll have the chance to work with rich, high-content datasets from complex human model systems, such as large-scale perturbation experiments with multi-modal readouts. In collaboration with experimental scientists at IHB, you will also have the opportunity to shape future experiments, enabling you to develop methods with direct translational impact. /ph3 Possible research areas may include: /h3ulli Causal inference and mechanism discovery from perturbation experiments /lili Predictive modeling and analysis for high-throughput screening /lili Computational methods for quantitative comparison of spatial, genomic, and other molecular profiles from organoid models with patient data /li /ulp Your work will connect computational innovation with experimental applications, contributing to the development of next-generation human model systems for drug discovery. You will publish your research, contribute open-source tools to the broader scientific community, and gain exposure to drug discovery and development while building your scientific independence as a computational researcher. /ph3 Who You are: /h3ulli Ph D in computational biology, computer science, machine learning, bioinformatics, or related technical fields /lili Track record of conducting impactful independent research, demonstrated through publications, preprints, or substantial research software contributions /lili Strong research experience in statistical or machine learning methods, ideally applied to genomics or other high-dimensional biological data /lili Proficiency in Python and experience with modern ML and scientific computing frameworks such as JAX, Py Torch or Tensor Flow /lili Strong scientific programming and software engineering practices, including version control, testing, reproducible research workflows, and agentic development tools /lili Creativity, scientific curiosity, and enthusiasm for developing computational methods that address challenging problems in biomedical research /lili Ability and motivation to work closely with experimental scientists and contribute to collaborative, interdisciplinary projects /li /ulh3 Nice to have: /h3ulli Experience applying machine learning to biomedical data, including genomics, imaging, spatial, or multimodal datasets /lili Experience with perturbation experiments, causal inference, high-throughput screening, or predictive modeling /lili Contributions to open-source software or scientific computing tools /lili Experience working closely with experimental collaborators /li /ulh3 About the Institute of Human Biology (IHB) Basel: /h3p The Institute of Human Biology (IHB) is a research center in Basel, Switzerland, dedicated to engineering advanced human model systems for drug discovery, development, and precision medicine. The IHB fosters an interdisciplinary environment bridging academic and pharmaceutical research, connecting biologists, engineers, and data scientists. It has close ties to Roche's Pharmaceutical Research and Early Development (p RED) organization and Genentech (g RED), and collaborates with leading academic institutions including ETH Zürich, University of Basel, and EPFL, as well as globally. Basel is an international hub for research and innovation, cultivating training environments through institutions like the University of Basel and ETH Zürich's Department of Biosystems Sciences and Engineering, creating a melting pot of research development and commercialization. /ph3 Who we are /h3p A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. /pp Let's build a healthier future, together. /ppb Roche is an Equal Opportunity Employer. /b /p #J-18808-Ljbffr