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Job description
Vir Biotechnology, Inc. is a clinical-stage biopharmaceutical company focused on powering the immune system to transform lives by discovering and developing medicines for serious infectious diseases and cancer. Its clinical-stage portfolio includes programs for chronic hepatitis delta and multiple PRO-XTEN ® dual-masked T-cell engagers across validated targets in solid tumor indications. Vir Biotechnology also has a preclinical portfolio of programs across a range of infectious diseases and oncologic malignancies. Vir Biotechnology has exclusive rights to the universal PRO-XTEN ® masking platform for oncology and infectious disease. PRO-XTEN ® is a trademark of Amunix Pharmaceuticals, Inc., a Sanofi company. We believe the success of our colleagues drives the success of our mission. We are committed to creating a company where everyone feels supported and encouraged to give their best.
THE OPPORTUNITY
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.The ideal candidate is a forward-thinking technical leader who combines expertise in data engineering, scientific software, AWS cloud platforms, and practical AI implementation to transform complex scientific data into connected, searchable, and actionable insights. They excel at partnering with scientists, data scientists, and engineers to build trusted, scalable solutions that accelerate research while maintaining the highest standards of data quality, governance, validation, and reliability.Reporting to the Senior Director, Research, this role is based in San Francisco with an expectation of three days per week in the office
WHAT YOU'LL DO
Build AI-enabled research workflows and agents that help scientists search, analyze, summarize, and connect Vir-generated
Develop AI agents for TCE research insights, Experimenta QC/QA review, and scientific/regulatory report
Design trusted LLM, RAG, knowledge-search, and agentic AI workflows with traceability, validation, governance, and human
Lead development and integration of scientific platforms, including SeqAssembler, HPD/dAIsY, SASTRY, OPAL Miner, and
Build scalable research and clinical data pipelines for bioinformatics, genomics, machine learning, and scientific decision-making.
Architect and operate AWS cloud infrastructure for AI/ML, bioinformatics, clinical analysis, and large-scale scientific data
Strengthen data quality, metadata, lineage, observability, security, governance, and platform
Partner cross-functionally to align data, cloud, application, and AI solutions with program
Provide senior technical leadership across architecture, engineering practices, mentoring, and roadmap
WHO YOU ARE AND WHAT YOU BRING
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
Experience with modern cloud-based data platforms and workflow technologies such as Databricks, Snowflake, Redshift, Spark, Airflow, Nextflow, or similar
Experience supporting bioinformatics, genomics, machine learning, clinical, healthcare, or other scientific data
Strong knowledge of data modeling, metadata management, data quality, observability, governance, lineage, and platform
Demonstrated technical leadership, including architecture ownership, roadmap development, mentoring, and cross-functional
Excellent communication and collaboration skills across Research, Clinical, Data Science, IT, and business
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WHO WE ARE AND WHAT WE OFFER
The expected salary range for this position is $176,500 to $246,500 per year. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors.
Vir Biotechnology's compensation and benefits are aligned with the current market and commensurate with
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.