Principal Data Engineer, AI-Driven Research Lead

Vir Biotechnology, Inc.

San Francisco, Northern (CA, KY)

Hybrid

USD 177,000 - 247,000

Full time

14 days+
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Job summary

Vir Biotechnology, Inc. is seeking an Associate Director, Principal Data Engineer in San Francisco, with three days in the office weekly.

You will lead scalable data, cloud, software, and AI-enabled research platforms to accelerate scientific discovery, clinical data analysis, and program decisions. Ideal candidates will have extensive data engineering and cloud experience, expertise with Python/Java, and a track record of delivering AI-enabled scientific applications with governance and

Qualifications

  • 12+ years of experience in data engineering, software engineering, scientific computing, cloud architecture, or scientific application.

Responsibilities

  • Build AI-enabled research workflows and agents that help scientists search, analyze, summarize, and connect Vir-generated data.
  • Develop AI agents for TCE research insights, Experimenta QC/QA review, and scientific/regulatory reporting.
  • Design trusted LLM, RAG, knowledge-search, and agentic AI workflows with traceability, validation, governance, and human oversight.
  • Lead development and integration of scientific platforms and data pipelines for bioinformatics and clinical data.
  • Architect and operate AWS cloud infrastructure for AI/ML, bioinformatics, clinical analysis, and large-scale data.

Skills

Python
Java
AWS cloud
Data pipelines
LLM/RAG
Governance
Collaboration
Leadership

Education

BS/MS in Computer Science or related field
Data Engineering/Bioinformatics

Tools

SeqAssembler
HPD/dAIsY
SASTRY
OPAL Miner
Databricks
Snowflake
Redshift
Airflow

Job description

Vir Biotechnology, Inc. is seeking an Associate Director, Principal Data Engineer in San Francisco, with three days in the office weekly.

You will lead scalable data, cloud, software, and AI-enabled research platforms to accelerate scientific discovery, clinical data analysis, and program decisions. Ideal candidates will have extensive data engineering and cloud experience, expertise with Python/Java, and a track record of delivering AI-enabled scientific applications with governance and

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