Federated genomics platform for distributed biomedical data research
Lifebit builds a federated genomics platform enabling researchers to run analyses across distributed datasets without centralizing sensitive data. The tech stack—Python, SQL, HL7 FHIR, CDISC standards, plus emerging agentic tools (LangGraph, CrewAI, AutoGen, RAG)—shows a shift from traditional bioinformatics toward AI-driven query and cohort discovery. Hiring velocity is accelerating across security, ops, and sales, paired with active projects in threat modeling, RFP automation, and federated AI agents, indicating a maturation phase: moving from research tool to enterprise sales motion while hardening data governance.
Notable leadership hires: Proposal Operations Lead
Lifebit operates a federated genomics platform that allows researchers and pharmaceutical organizations to conduct unified analyses over biomedical datasets stored across multiple locations. The platform handles HL7 FHIR and CDISC data standards, critical in regulated life-sciences workflows. Core value is enabling complex bioinformatics without moving sensitive data to a central cloud, addressing compliance and privacy constraints in healthcare research. The company was founded in 2017 and is based in London with 51–200 employees.
Python, SQL, HL7 FHIR, CDISC standards, plus agentic AI tools including LangGraph, CrewAI, and AutoGen for query automation and cohort discovery. Also uses RAG for data retrieval.
Currently recruiting in Greece and Canada, alongside the UK headquarters in London.
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