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Lucis analyse les biomarqueurs sanguins et fournit des recommandations personnalisées via une application. La plateforme aide les utilisateurs à comprendre leur santé et à agir de façon préventive.

Repères sur Lucis
Secteur
Santé, pharmacie et biotech
Modèle
B2C
Type d’entreprise
Financée par du capital-risque
Stade
Startup early-stage
Siège
Paris
Domaine officiel
lucis.life
Effectif public
20 employés
Financement total publié
28 M$Source ↗
Dernière levée
Série A · 2026-05-01
Montant annoncé
20 000 000 $
Offres ouvertes
11

Investisseurs mentionnés

Détails de l’offre

La description complète publiée par Lucis.

Voir l’offre originale ↗

Description de l’offre

Making preventive health the default for every human in Europe

The mission

At Lucis, we believe healthcare should be preventive, not reactive. We’re building the operating system for human longevity to help people add more healthy years to their lives. You can read more about who we are and how we work here.

The role

Lucis analyses more than 110 biomarkers, builds personalised clinical protocols, and delivers them through an AI-powered preventive health product. As our Medical ops lead, you own how clinical work runs as we scale across Europe: workflows, labs and partners, turnaround, quality, review queues, and escalation. You ship with operators. You work directly with the product lead, medical team, Medical Excellence, AI team, and operations team. You think like a clinician, operate like a builder, and use AI as a daily collaborator. This is not a traditional care-delivery role.

It is not a content or research role. You have already run medical ops (or equivalent: clinical quality, clinical programmes) in a scaled healthtech, diagnostics, pharma, or technology-enabled care environment — not only practiced at the bedside.

What you own clinical operations & labs

  • Design, document, and improve clinical workflows end-to-end: from blood draw and lab intake to results, review, and member follow-up
  • Own the relationship and operating rhythm with labs and partners: SLAs, turnaround times, incident handling, quality loops
  • Make sure clinical standards hold as we add labs, markets, and volume
  • Clear ownership across medical, product, AI, and operations
  • Continuous improvement from operational feedback and member outcomes

Review queues & escalation

  • Build and run review and escalation processes so complex or sensitive cases move fast and safely
  • Reliable handoffs between reviewers, Medical Excellence, product, and ops
  • Coverage, prioritisation, and turnaround for the medical review queue

Medical quality and governance

Clinical review and sign-off processes (ops side: who reviews what, by when, with what audit trail)

  • Quality-control systems, documentation standards, audit trails
  • Escalation and medical risk-management processes
  • Clinical performance indicators PROTOCOL & AI ROLLOUT (OPERATIONAL)
  • Support rollout of new biomarkers, protocols, and AI features operationally
  • training, queues, partner readiness, go-live quality
  • without owning the clinical content itself

About you

You are a clinician

  • MD or nurse
  • who has practiced, and who has also run medical operations, not only delivered care. You want clinical expertise to scale through systems, labs, and operators
  • not only through a waiting room. You create structure in ambiguous environments. You move between clinical reasoning, operations, and technology. You don’t only flag problems; you ship the fix with operators and own the workstream.

You’ll fit in well if

You are an MD or a nurse (or equivalent clinical qualification) with relevant experience

  • You have real clinical practice (not academic-only / desk-only)
  • You have run medical ops, clinical quality, clinical programmes, or equivalent in a scaled healthtech, diagnostics, pharma, or technology-enabled care company
  • You have gotten things delivered with operators: labs, partners, turnaround, quality
  • You think in systems, workflows, and queues
  • You work easily with product, engineering, AI, operations, and clinical experts
  • You use AI daily
  • You balance medical rigour with speed and pragmatism
  • You take ownership beyond your

job description

You are fluent in French and English, spoken and written WE MIGHT NOT BE A FIT IF

  • You want to focus primarily on traditional bedside practice
  • You have only practiced and have not owned operational delivery
  • You prefer individual cases over scalable systems
  • You are looking for a research or medical-writing role more than ops ownership
  • You are uncomfortable with technology or AI as part of daily work
  • You wait for instructions rather than owning a workstream
  • You have little interest in labs, partners, processes, documentation, or quality systems
  • You prioritise predictable nine-to-five work over mission intensity

Practical details

Format: Full-time. Flexible for the right person.

  • Location: Paris mostly
  • Languages: French and English required. Additional language a plus.
  • Relocation support possible. Europe-based candidates welcome if willing to travel regularly to Paris.

The process

  • Introductory call (20 minutes)
  • Technical interview (30–60 minutes) — clinical judgement, operational thinking, tech experience
  • At-home case study (within two days)
  • Deep dive and team conversations in Paris
  • Reference calls

Prérequis

  • MD or nurse
  • Real clinical practice
  • Medical operations experience

Avantages mentionnés

  • Relocation support possible

Lieu de travail

Adresse confirmée

L’offre publie directement cette adresse.

156 Rue Oberkampf, 75011 Paris
Indice de confiance 5 sur 5
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