Research Scientist - Mo team
Paris, France
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Alan
Alan permet à chacun d’agir sur sa santé physique et mentale, en alliant le meilleur de la prévention et de l’assurance, le tout au sein d’une expérience unique.We’re building Mo — a health companion for everyone.
We’re a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. We are building Mo, an intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care.
Imagine giving every person in the world instant, 24/7 access to personalised medical expertise - through chat, voice, or video. That’s what we are building 🤖.
We kicked off the project in 2023. After a strong R&D phase, we’re now testing real products with real users, and preparing to scale fast.
🐼 Powered by Alan ♥️You. Better. With Alan.
We’re part of Alan, a leading European health insurance and healthcare company. That gives us access to world-class resources: 700,000+ members, 32,000+ client companies, €500M+ ARR, a talented team of 600+ people, strong positioning in AI (co-founded Mistral AI)
We benefit from Alan’s platform, infrastructure, distribution, and health expertise — but operate with the speed and focus of a startup. If you’re curious about Alan’s broader vision, their Shareholder Letters (2025-Q1, 2024-Q4) are worth a read.
🤖 What keeps us up at nightWe’re building a medical agent that works — reliably, safely, and at scale.
You’ll work at the intersection of AI research and clinical application. Our mission is to build the most accurate and reliable medical agent in the world, while delivering an outstanding conversational experience. Things we’re working on:
🧬 Build internal medical models — You’ll develop and evaluate foundation models and fine-tuned architectures for structured clinical reasoning. This includes working with curated datasets (e.g. clinical cases, EMRs, guidelines), building doctor-like reasoning agents, and iterating closely with medical experts.
📚Inject knowledge in clinical workflows — You’ll augment generation with structured clinical knowledge (e.g. drug databases, guidelines) using retrieval pipelines and hallucination-mitigation strategies.
🗣️ Push the frontier of voice-based agents for healthcare — You’ll research and deploy streaming speech recognition and context-aware state switching — enabling Mo to handle real-time dialogue like a human clinician would.
📊 Develop eval frameworks for clinical AI —You’ll design and run evals, by hand and programmatically, to understand where our agents fail and improve them.
🧠 Build lifelong memory and personalization infrastructure — You’ll explore architectures for dynamic memory and personalized reasoning, enabling Mo to be a personal, relevant health companion
If you’re excited by the idea of building the future of healthcare, this is the team for you - we're at the start of the journey. If you’re curious, here is a paper we published recently.
🎯 Is it you we’re looking for?We’re looking for Research Scientists with 3+ years of experience (or equivalent research track record) who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare.
You’ll work at the frontier of LLMs, multi-agent architectures, and human-in-the-loop learning — and see your work deployed in production, helping real people.
You’ll tackle open-ended, high-risk research problems that demand rigor, creativity, and speed.
You’ll work at the intersection of AI research and healthcare products, collaborating daily with doctors, engineers, and designers.
You’ll have significant influence on research directions, system architecture, and evaluation methodology.
You’ll mentor engineers and scientists, contribute to our research culture, and help build the team (including participating in hiring, shaping our interview loops, etc.).
You would be a good fit at Alan if most of this sounds like you:
Strong background in machine learning, deep learning, and/or large-scale model training
Experience with LLMs, RLHF, multi-agent systems, retrieval-augmented generation, or speech processing is a big plus
Product-minded: you want your research to be used, not just written about
Self-directed and pragmatic
Humble and still willing to grow (no matter your seniority!)
Collaborative, enthusiastic about teamwork, learning, and teaching
Fluent in English (no need to speak French!)
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
🤘 How we do it ?People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work, such as:
🎯 What drives us — We're obsessed with helping our members live healthier
Mission is the Boss: long-term thinking, seeking our mission success above all else.
Member & customer-led: obsessively focused on solving members & customers problems and creating the most delightful experiences.
🏆 How we build excellence — We hire the best people and give them platform to succeed
Champions of excellence: extremely high standards and talent density.
Distributed ownership: accountable enlightened despots, everyone owns their decisions and results.
Radically transparent: all information is accessible and written-first, so everyone can make the best decisions asynchronously
🤝 How we grow together — We help each other improve through honest feedback and bold thinking
Optimistic alchemy: optimists who collaborate with genuine care and support teammates.
Empathetic challengers: direct, caring feedback combined with praises to help each other grow professionally
Bold & creative contrarians: think differently to achieve greatness, try new approaches
⚡ How we move fast — We fight complexity and focus on what matters most
Disciplined in execution: taking decisive actions with focus that compounds success over time
Fight for simplicity: only high impact processes, smart frugality
🙌 Perks & BenefitsAt Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
Fair rewards. Generous equity packages complement your base salary, for permanent contracts only.
Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones.
Flexible vacation policy and flexible working hours. Organize your time as you wish.
Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
Transport. Country-specific commuter benefits.
Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture.
Parental leave. Extended parental leave for all new parents, for permanent contracts only.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor page for more info.
#LI-DNI
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture ASR Conversational AI Deep Learning LLMs Machine Learning Model training NLP Pipelines R RAG R&D Research RLHF Streaming Teaching Testing
Perks/benefits: Career development Conferences Equity / stock options Flex hours Flex vacation Gear Health care Home office stipend Medical leave Parental leave Salary bonus Startup environment Team events
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