Digital Biomarker Data Management Architect

Vor 2 Tagen


Basel, Schweiz TN Switzerland Vollzeit

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Digital Biomarker Data Management Architect, BaselClient:Location:Job Category:

Other

Job Reference:

038e8efc5423

Job Views:

12

Posted:

21.01.2025

Expiry Date:

07.03.2025

Job Description:

The Position

Digital health technology is transforming the way we develop personalized medicines for patients. Roche is dedicated to creating community- and regulator-accepted digital endpoints and outcomes that redefine how we measure disease progression in clinical drug trials. We are looking for a Data Operations and Management Lead to drive data-related topics in the operationalization of our digital biomarker products in multiple disease areas.

Job Mission

We, the Digital Biomarker (dBM) Global Area in Roche Information Solutions, are an integrated team of scientists, technologists, data analysts, and operationalization experts that leverage mobile technologies like smartphones and wearables to collect objective and continuous sensor data from patients in clinical trials.

We co-create innovative digital remote monitoring concepts for sensitive drug development endpoints, implement them in technology solutions, develop health-related outcome measures with the data, seek community- and regulatory acceptance of corresponding endpoints, and offer them to biopharma companies and research institutes for use in clinical trials. Moreover, we are establishing the scientific foundations for disease monitoring and screening solutions in clinical practice.

Your Impact

As the Digital Biomarker Data Management Architect in the digital biomarker data insights subchapter, you will:

  1. Develop and optimize data-driven procedures to support digital biomarker study setups and operations, including digital device/app quality control, adherence monitoring, and data transfer quality control.
  2. Co-develop and maintain external and internal data standards to ensure seamless data flow during different processing steps from raw sensor data through our library of signal processing algorithms to data transfer files provided to our customers.
  3. Be the technical owner of our library of signal processing algorithms to extract meaningful information from raw sensor data.
  4. Contribute to the improvement and automation of data processing and analysis pipelines across programs.
  5. Lead activities in matrix teams.
  6. Be the main interface between the Digital Biomarker data analysis team and workflows, clinical integration, and deployment teams.

Must Haves:

  1. Very good university degree in computer science, software engineering, mathematics, statistics, or natural science.
  2. 5+ years of hands-on experience in software development and data engineering (optional: signal processing) on digital biomarker data.
  3. Experience in working in a goal-oriented manner with the customer in mind.
  4. Understanding of regulatory requirements for digital health technologies.
  5. Strong experience in working at interfaces between signal processing experts and software developers.
  6. Experience of working collaboratively within a large team and managing your time against competing demands.
  7. Profound knowledge in Python (additional knowledge in other software packages/languages welcome).
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