# Associate Director, Principal Data Engineer at Vir

- Company: Vir
- What the company does: Vir is leveraging immunologic breakthroughs to address unmet patient needs in infectious disease and beyond. Backed by SoftBank VF.
- Company website: https://www.vir.bio/
- Type: Startups
- Level: Principal and up
- Location: San Francisco, California, United States
- Work setup: On-site
- Pay: $177K to $247K base salary per year (USD)
- Posted: 2026-08-20
- Apply by: 2026-10-12
- Apply: https://job-boards.greenhouse.io/virbiotechnologyinc/jobs/4726014005
- Page: https://www.1752.vc/careers/jobs/vir-associate-director-principal-data-engineer/

## About the role

Vir Biotechnology is seeking an Associate Director, Principal Data Engineer to lead scalable data, cloud, software, and AI-enabled research platforms that support scientific discovery, clinical data analysis, and program decision-making. This role will build the foundation for AI-powered research workflows, including AI agents for research, QC/QA, and scientific/regulatory reporting, while partnering across Research, Clinical, Data Science, TechOps, Competitive Intelligence, and IT.

## What they're looking for

- BS/MS in Computer Science, Data Engineering, Bioinformatics, Computational Biology, Engineering, or a related technical
- 12+ years of experience in data engineering, software engineering, scientific computing, cloud architecture, or scientific application
- Strong hands-on experience with Python and/or Java, including scalable data pipelines, APIs, services, and production-grade data
- Experience building AI/ML-enabled scientific applications using leading LLMs such as GPT, Claude, Gemini, or similar models, including RAG, knowledge search, agentic workflows, and governance
- Experience integrating LIMS, ELN, scientific data platforms, or experiment-management systems such as Experimenta to support data capture, analysis, quality review, and scientific
- Strong AWS cloud infrastructure experience, including compute, storage, networking, security, data processing, monitoring, automation, and operational

Tags: Research