Head of Data Intelligence

5 days ago

Tel Aviv, Tel Aviv, Israel Imagene AI Full time

About the Position

Lead and build the Data Intelligence function that ingests, validates, harmonizes and serves collaborator and internal data - including data for a production clinical component - to power ML/LLM research and product workflows. Hands-on technical leader who owns data platform, LLM/tooling orchestration, clinical/biological/chemical fidelity, and regulatory/QMS-ready governance.

Core responsibilities

  • Own end-to-end internal multimodal data platform (collaborators' EHR, imaging, omics, assays).
  • Design, build and validate the clinical data environment (generation, augmentation, fidelity metrics and privacy safeguards) for model training and experiments.
  • Architect, deploy, and operate robust LLM systems and tools to structure data and reach the company's KPIs. Execute rigorous evaluation pipelines (hallucination guardrails, accuracy, and reliability tracking).
  • Hire and lead a cross-functional team (data engineering, clinical annotators, bioinformatics) and own standards and tech choices.
  • Partner with clinical, product, compliance and bizdev teams to translate domain requirements into systematically defined data products.
  • Lead secure, auditable collaborator data transfer onboarding: schema mapping, transfer, de-identification, provenance (data lineage), and monitoring.

Must-have qualifications

  • Proven leader of cross-functional technical teams
  • 5+ years building and operating large data platforms/pipelines; demonstrable experience with clinical or biomedical datasets, data lakehouses.
  • 3+ years of building Multimodal data pipelines, schema, and data harmonization.
  • MS/PhD in CS, Bioinformatics, Computational Biology, Biomedical Engineering or clinical/chemical discipline.
  • Strong software & data engineering skills: Python, SQL, orchestration, Docker, data modeling, modern data lakehouse, and large-scale data processing.
  • Experience with Linux environment and CLI tools for data transfer.
  • Familiarity with object storage and cloud providers (AWS/GCP/Azure/OCI).

A Significant Advantage

  • Hands-on production experience with LLMs and LLM tooling (RAG, orchestration, tool integrations, evaluation, prompt engineering).
  • Domain experience in oncology, immunology, assays or pharma/CRO partnerships.
  • Experience working with clinical data models and standards (e.g., FHIR/HL7, OMOP, ICD, SNOMED, LOINC, CDISC) in real-world datasets.
  • Experience implementing data catalogs and lineage tools.

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