Switzerland, Basel-City, Basel Headquarter
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Apply now!PrintAt Roche, we believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action, we believe that good business means a better world.
Roche Diagnostics has built a new strategic area – Diagnostics Information Solutions (DIS) - charged with creating a modern portfolio of decision support software products that change the way patients are cared for. Our challenge is to bring together complex diagnostic and treatment data from medical devices and IT systems within a hospital and intelligently process and present this data to clinicians, researchers, and caregivers to improve research outcomes and patient care.
As a Data Scientist part of Data Science & Services (DSS) team at DIS, you are responsible for conceptualizing, planning and executing advanced analytics projects to discover key insights improving NAVIFY product portfolio leading to better and more efficient patient care. In close cooperation with other Data Scientists, medical experts and other relevant functions you will design and execute advanced analytics projects building on a wide range of commercial and research datasets containing deep medical information.
In this position, you will also ensure that design, execution, and presentation of analysis results are adhering to industry standards and potentially improve and redefine current industry standards. You will rely on your oncology expertise, advanced analytical skills, and your ability to interact with cross-functional experts such as biostatisticians, clinical scientists and oncologists, to discover novel insights demonstrating impact of various treatment decisions, and uncover key elements leading to best outcomes for patients. In addition, you will maintain and expand knowledge of available healthcare data sources and applicable state-of-the- art analysis methodologies including machine and deep learning, large scale data processing and visualization, and languages and tools (R, Python, (no-)SQL, Hadoop, Spark, etc.).
Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.