Flagship Pioneering
Senior / Principal Data Infrastructure Engineer
$165K–$209K
Cambridge, MA USA +1 · Principal · Full-time · Posted Oct 8, 2026
- Location
- Cambridge, MA USA
Expedition Medicines - Experience
- 8+ years in data infrastructure, data engineering, informatics, or related fields; preferably in proteomics, bioinformatics, or biotech.
- Education
- Bachelor's degree in Computer Science, Data Engineering, Computational Biology, Proteomics, or a related technical field; advanced degree is a plus.
About the job
Designs, builds, and operates scalable data infrastructure that makes experimental proteomics data reliable, traceable, and usable by scientific and machine-learning teams.
What you'll do
- Architect and implement production-grade data platforms, pipelines, workflows, and cloud infrastructure.
- Set the data infrastructure roadmap and standards for data integrity, lineage, and reproducibility.
- Integrate research instruments, pipelines, and LIMS, and partner with scientists to deliver data systems.
What they ask for
- Bachelor's degree in a related technical field.
- Proven ability to independently design, build, and operate terabyte-scale data systems in biotech or life sciences.
- Expertise in cloud infrastructure, Kubernetes, infrastructure-as-code, data modeling, and workflow orchestration.
- Strong proficiency in Python and SQL; experience with DevOps, SDLC, and CI/CD.
Nice to have
- Experience using LLMs and agentic tooling to build natural-language data query interfaces.
- Experience with mass spectrometry or NGS datasets, biomarker discovery, LIMS, or laboratory automation.
Pay
$165,000 - $209,000 (base salary)
Tools
AWS, Azure, Kubernetes, Terraform, Postgres, Redshift, Snowflake, Python
AI focus
The role supports machine-learning tools trained on proteomics data and preferably builds LLM- and agentic-tooling-based natural-language query interfaces for scientific teams.
Model-written summary · the original posting is authoritative