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A postdoctoral research position is available at IBM – Zurich Research Laboratory to develop computational methods to support personalized medicine in cancer. This highly interdisciplinary project involving the collaboration of several institutions across Europe and USA will focus on prostate cancer, a leading cause of cancer death amongst men, but also prone to over-treatment.

The project aims to develop computational models that can exploit molecular and clinical data in order to improve our understanding of cancer disease mechanisms and predict optimized strategies for therapeutic intervention. The models will be based on the exploitation of genomic, transcriptomic, proteomic, and clinical data in primary and metastatic tumors, prospective cohorts of well characterized prostate cancer patients, drug screenings in cell lines, and the use of the Watson technology, a last-generation cognitive computer developed at IBM.

The successful candidate will analyze molecular data in order to characterize tumor heterogeneity, and will develop methodologies to integrate disparate types of data into models that can help risk-stratify patients.

Candidates should have a strong background in computer science, mathematics or physics and be interested in cancer-related research. Strong programming skills are necessary. Experience in machine learning, Big Data analysis, and high-performance computing is a plus.

The group of systems biology at IBM aims to develop new mathematical and computational approaches for the analysis and exploitation of the latest generation of biomedical data. In the context of cancer, the group focuses on the integration of high-throughput molecular datasets to build comprehensive molecular disease models; the development of new approaches to reconstruct signalling protein networks from single-cell time-series proteomic data; and the application of Bayesian approaches and high-performance computing to the problem of network reconstruction.

IBM is committed to diversity at the workplace. With us, you will find an open, multicultural environment. Excellent, flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives.