About this role
Set a new pulse for healthcare!
We are looking for a Technical Program Manager to join the AI Lab team at Doctolib.
This is an opportunity to become the person who makes a new European clinical AI research lab work, from the inside, at an early stage.
The AI Lab is tackling long-horizon, high-stakes questions at the intersection of clinical AI, patient modelling, causal inference, calibration, privacy, and real-world evaluation , with access to one of Europe's largest longitudinal EHR datasets.
You will be the operational backbone of a rapidly growing lab, combining research scientists, data scientists, research engineers, PhD students, and research affiliates. Your role is to build and manage the processes, interfaces, and infrastructure that let researchers focus on research, within a product company operating at European scale, with real patients and clinicians on the other side of every decision.
What you'll do
Your responsibilities include but are not limited to:
• Own the operating model. Design and run the Lab's core processes from the ground up: portfolio management, roadmap tracking, async documentation, and decision-making cadence. Where a task recurs, build a process.
• Connect research and product. Understand both the Lab's projects and product teams' roadmaps well enough to propose concrete collaborations and follow them through. Lead recurring interfaces such as the bi-annual DS-Research workshop and monthly research on-sites, with agendas set in advance and pre-reads produced and read before the meeting.
• Filter and triage inbound. Manage partnership proposals, collaboration requests, and internal asks: answering or redirecting most, escalating only what merits researcher time.
• Track dependencies to resolution. Own operational blockers (data access, compute, contracts, academic collaboration administration) and drive them to closure with the relevant teams. For example: run a CIFRE application through the university, the doctoral school, and the ANRT fast enough that the intern starts the PhD without a gap.
• Run hiring logistics. Interface with Talent Acquisition to keep the pipeline moving: scheduling, candidate communication, process documentation, scorecard templates. Researchers keep the assessments.
• Map the ecosystem. Maintain a live view of labs, companies, and institutions working on adjacent topics; prepare targeting decisions for partnerships, workshops, and data challenges. Lead the first data challenge end to end, from platform setup and legal clearance to participant communication.
• Move information in both directions. Collect what the Lab needs from product, data, medical, legal, and people teams; report the Lab's scientific outputs, programme health, and critical risks to the company with clarity and precision.
Who you are
Before you read on: if you don't have the exact profile described below but feel this job description matches your skill set, we still encourage you to apply.
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