Principal Engineer
Digital Integration & Data Analytics, Process & Product Development
Posted on 10/31/2023
Vir Biotechnology

501-1,000 employees

Immunology company developing treatments for infectious diseases.
Company Overview
Vir Biotechnology, Inc. stands out as a commercial-stage immunology company that leverages advanced technologies and deep immunologic insights to combat serious infectious diseases, with a development pipeline that includes treatments for COVID-19, hepatitis B and D, influenza A, and HIV. The company fosters a culture of equality, inclusion, and respect, believing that the success of its mission is driven by the success of its colleagues. Recognized as the fastest-growing company in North America on the 2022 Deloitte Technology Fast 500™, Vir Biotechnology, Inc. demonstrates industry leadership and a strong competitive edge.
Data & Analytics

Company Stage

Series B

Total Funding





San Francisco, California

Growth & Insights

6 month growth


1 year growth


2 year growth

San Francisco, CA, USA
Experience Level
Desired Skills
Data Analysis
AI & Machine Learning
Data & Analytics
Biology & Biotech
  • M.S. or Ph.D. in Biosciences, Chemical Engineering with 13+ years of experience
  • Experience working in a biologics manufacturing facility and/or process development environment
  • Deep familiarity with mAb cell culture and/or purification technology, including bench, pilot, and GMP scale
  • Experience in statistical/machine learning and mechanistic modeling
  • Understanding of regulatory compliance (FDA, EMA, GMP)
  • Experience leading digital transformation projects, applying process re-engineering and technology to deliver with speed and quality across multidisciplinary teams
  • Experience in Python or similar object-oriented languages
  • Executive level dashboard using Tableau or Spotfire
  • Strong evidence of end-to-end thinking and championing the digital experience
  • Experience leading cross-functional teams
  • Onboard and develop applications to streamline analytical/process development experimental design, execution, and reporting including in silico/machine learning based modeling
  • Partner with internal/external process/analytical labs to evaluate and implement real time analytics, modeling, automation, and control toward value creation and reduced cost of goods manufactured
  • Enhance programmatic access and reporting of CMC data across the enterprise in partnership with IT/Data Sciences
  • Drive broadened application of Vir’s Manufacturing Data Repository to strengthen data aggregation and advanced analytics capabilities across CMC functions
  • Evaluate and implement solutions for streamlined data compilation in support of regulatory filings
  • Partner with Data Sciences and IT to develop and execute the Tech Ops Data Tools/Technologies project roadmap in support of Vir’s data strategy
  • Drive enterprise data innovation by staying current on new standards, methods, tools, platforms, and industry trends while identifying novel business needs and applications
  • Collaborate with product and technology team members to integrate product/platform experiences, data, and workflows