Data Scientist

Switzerland, Basel-City, Basel Headquarter

defresrutritptzhja

Apply now!Print

• Job facts

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 Data Scientist for NAVIFY decision support solutions, you are responsible for driving development of advanced analytics projects to further improve functionalities of NAVIFY decision support solutions. One of these decision support solutions is NAVIFY Tumor Board, is a software solution for managing tumor boards and aligning oncology care teams on treatment decisions. In close cooperation with members of an agile development team, you will design and execute advanced analytics projects building on a wide range of process-generated, curated, and other data sets.

In this position, you will also ensure that design, execution, and presentation of analysis results are adhering to industry standards and potentially re-define industry standards. You will rely on your critical care (e.g. infectious diseases, sepsis, cardio) expertise and analytical skills, and couple them with advanced analytics and your ability to interact with other experts such as biostatisticians, clinical scientists and oncologists to ensure optimum medical value for NAVIFY users is received. In addition, you will maintain and expand knowledge of available data sources and applicable state-of-the-art analysis methodologies (including supervised and unsupervised techniques, time series, dimensionality reduction, etc.) and languages and tools (R, Python, (no-)SQL, Hadoop, Spark, etc.).

Role Responsibilities:

• Drives data science in agile analytical software development teams and develops solutions to support insight generation facilitating successful development, verification and commercialization of diagnostics services & products


• Maintains and expands knowledge of and access to available and meaningful data sources within and ex Roche Diagnostics, and their application to TB customer needs


• Uses and continues to foster strong working relationship with global colleagues and customers and builds a strong network in order to jointly explore vendor relationships, data assets, analytical methodologies and toolsets


• Performs high quality, timely and accurate analyses using appropriate state-of-the-art methodologies, tools and resources


• Builds and maintains partnerships with data scientists and analysts, biostatistics, and other key contacts


• Responsible for planning and timely delivery of assigned projects


• Committed to offering innovation, finds opportunities to enhance ways of working (including processes, methods, technology etc.) and shares new techniques and lessons learned pro-actively with peers

Skills:

• Strong statistical programming skills in R, Python or another analytical language


• In-depth knowledge of relational database principles and corresponding query language skills (e.g. SQL)


• Experience using big data platforms such as Hadoop (Spark is a plus)


• Experience in applying statistical modelling, machine learning, exploratory, and confirmatory data analysis in mid to large volume data sets


• Familiarity with regulatory framework and guidelines for pharma/diagnostics products is a plus


• Excellent communication skills; ability to negotiate successfully; strong influencing skills; self-contained and outgoing approach


• Strong prioritization, solution-finding skills and attention to detail; Embraces and endorses change


• Good knowledge of English in a business environment

Background/Experience and Education:

• M.S. or advanced degree in data science related field (e.g. statistics, mathematics, epidemiology, health economics, computer science, outcomes research)


• Strong background in critical care, either by education or professional experience


• Programming experience with R, Python, and/or other statistical software packages


• Proven practical experience in applying machine learning techniques to large, diverse data sets


• Exposure to machine learning and big data analysis methods and platforms

For questions please call the Recruiting Team Switzerland: +41616822550

Roche is an equal opportunity employer.

Research & Development, Research & Development > Modelling & Simulation

• Who we are
  
  Roche is an equal opportunity employer.


• Job facts
  
  
  
  • Location Switzerland, Basel-City, Basel Headquarter
  
  
  • Function Research & Development
  
  
  • Subfunction Modelling & Simulation
  
  
  • Schedule Full time
  
  
  • Job level Individual contributor
  
  
  • Job type Regular
  
  
  • Division Diagnostics
  
  
  • Posted since 2018/09/06
  
  
  • Posted until 2018/10/04
  
  
  • Job-ID 201809-120164
  
  


• Get in touchMrs. Pelin Babacan


• You could also like these jobs

  Senior PHC Data Scientist - RWD Collaborations

  United States of America, California, South San Francisco

  Data Scientist

  Switzerland, Basel-City, Basel Headquarter

  Real World Data (Senior) Scientist

  United Kingdom, Hertfordshire, Welwyn

Apply now!