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Founding Data Scientist


Missing
:
Founding Data Scientist (Computational Health AI)
— part builder, part scientist. You love biomarkers, messy CSVs, and clean protocols. You can get your hands dirty with the code, think statistically, and you're curious (maybe even a little obsessed) about how AI can
actually
improve preventive care. Bonus points if you've played with UK Biobank or similar.

When found, please return
as a whole to Max & Yannick.

When interested, check out this video first:

Description:

Join Eliksir as our third co-founder to take the product from Zero (point five) → One and beyond. We're building an
AI Lab Assistant
for clinical biology labs: rule-based + LLM reasoning today; a defensible, data-driven engine tomorrow. Short-term you'll help shape the biomarker interpretation logic and design a
retrospective proof-of-value
study; mid-term you'll co-lead the path toward
clinical investigation
and proprietary models.

You'll work closely with Max (pharmacist, longevity nerd) and Yannick (entrepreneurial full-stack/LLM builder). Business model is B2B2D (payer ≠ end-user); pilots and grant in the pipeline.

Requirements:

  • Hands-on
    : strong data science fundamentals; comfortable shipping code.
  • LLM + rules
    : Experience applying LLMs to structured domains (prompting, RAG/vector DBs, evaluation) and translating domain logic into robust rule engines.
  • Classical ML
    : trees/boosting, clustering, time-series basics; can baseline and iterate as data grows.
  • Clinical rigor
    : Able to
    co-author a proof-of-value protocol
    (objectives, endpoints, inclusion/exclusion, stats plan) and later help shape clinical investigation design.
  • Health data fluency
    : GDPR, de-identification, data governance; familiarity with lab data formats (CSV/HL7/FHIR) and basic QA for real-world data.
  • Domain curiosity
    : Biomarkers, preventive/longevity medicine; comfortable reading papers and turning evidence into product logic.
  • Infra
    : Comfortable shipping on modern cloud (Azure preferred), CI/CD, versioned data/experiments.
  • Bonus points:
    Prior work with UK Biobank/MIMIC/NHANES; stats for clinical validation; exposure to MDR/SaMD; grant writing or publications.
  • Practicalities
    : EU-based.
    Equity co-founder,
    with a
    part-time trial
    (real deliverables, real ownership).
  • NB:
    Unpaid and part-time until MVP/funding
    . After initial raise, join full-time with a balanced founder package.

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