Making preventive health the default for every human in Europe
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.
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.
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
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
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
Support rollout of new biomarkers, protocols, and AI features operationally — training, queues, partner readiness, go-live quality — without owning the clinical content itself
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 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
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
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.
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
