Principal Data Manager

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The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Computational Science and Informatics Pathology Lab Solutions Chapter is a fast-paced, highly interdisciplinary, and technical team of people with the ambitious goal of disrupting the practice of Pathology by creating innovative algorithms using AI technologies to improve the lives of cancer patients. In this Chapter, we have an exciting opportunity for a Principal Data Manager

The Opportunity:

• The Principal Digital Pathology Data Manager will work with the Technical Algorithm Development Leads to define data needs for the Digital Pathology Algorithm Development Project This includes sources of data, data requirements & lifecycle: timelines, quantity, quality, cohort composition & partitioning, fit for development purpose, confidentiality level, end of lifecycle requirements, etc.; Data Saliency and handling of PHI/Non-PHI Data. You will also author SOPs for Data Handling

• Define standard processes for Data Management. This includes: Identify and oversee implementation of platforms for data management: On-prem, Secure Cloud Storage, Secure Store; Establish & map data handling processes. Streamline and optimize data management: delivery time, cost, quality control; Data governance: ownership, stewardship, access control

• Develop and implement a strategy for sustainable, scalable fit-for-purpose data management; Establish and implement data models & definitions, mapping schemes (e.g. client’s data formats to standard vocabulary, CDISC compatible format); Work with the technical development team to integrate DataOps and MLOps tools & practices for improved algo dev productivity and reliability

• Scripting using Python or R for generating Data Management tasks for Research Associate and or Pathologists

• Oversee the data workflow for the project, including data sourcing, ingestion, and selection; Generate Dashboards for tracking Annotation and Data collection status

• Internal and external collaborations: Lead Research Associates on how to set up projects on internal or external portals for Quality Control / Annotation Collection; Engage external vendors for onboarding Pathologists using SOW/PO engagement

 

Who you are:

• You must have a Master's degree in Data Management, Data Science, Information Systems, Business Analytics, Bioinformatics and Data Management or related field

• You have 6 years of experience of working in data management (i.e. sources of data, data requirements & lifecycle, timelines, quality, quality, confidentiality etc)  

• You have 6 years experience of managing clinical (imaging preferred) datasets for large studies  

• You have 6 years of experience in Python and/or R for generating data management tasks  

• Prior experience working with On-Prem and Cloud data management 

• You have experience of interacting with external stakeholders and vendors  (i.e. for onboarding Pathologists using SOW/PO engagement)

Preferred: 

• You have experience translating clinical data to Pathologist and/or Research Associates  

• You have prior experience working for Biotech/Pharma  

 

The expected salary range for this position is based on the primary location of Santa Clara, CA  165,200-306,800   Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  A discretionary annual bonus may be available based on individual and Company performance.  

 

This position also qualifies for the benefits detailed at the link provided below.

Benefits

 

Relocation Benef