At 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 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 the Senior Data Scientist in the Data Science Enabling Technologies (DSET) team, you are responsible to bring together application of advanced analytics to enhance Clinical Decision Support (CDS) solutions and the technology required to enabling them. In this function, you will be working together with Software Developers, Data Engineers, product owners and managers, and fellow data scientists. You will design and execute advanced analytics projects building on a wide range of process-generated, curated, and other data sets.
Also, you will ensure that all relevant functions involved in product development are aware of and ready to adopt technology-related design choices and their implications for the product portfolio. Your work will focus on methods and technologies to extract and abstract data originating from unstructured sources (e.g. using NLP), to standardize and map them to (clinical) terminologies (e.g. SNOMED CT, LOINC, ICD, etc.) and overall to make data Findable, Accessible, Interoperable, Reusable (F.A.I.R.).
Through your active involvement in supporting product teams with Data Science expertise, you will gain an understanding of the data requirements that enable these software products. You will translate these requirements into technological requirements (see above) and make sure that they find their way into an evolving data architecture landscape.
In order to be successful in this position, you have:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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