Senior Staff Research Scientist - Clinical AI Lab (x/f/m)
Posted on June 21, 2026 (about 1 hour ago)
About Doctolib
We’re a B Corp company committed to building together the healthcare we all dream of.
More than 3,000 Doctolibers in France, Germany, Italy, and the Netherlands help improve the daily lives of care teams with a new generation of technologies and services.
Doctolib helps over 90 million patients effectively manage their health and access optimal healthcare.
Job description
As a Senior Staff Research Scientist in the Clinical AI Lab you will develop advanced AI systems focused on medical reasoning to enhance clinical decision-making and support healthcare professionals. You will work at the intersection of machine learning and healthcare, creating models that understand medical knowledge, reason through clinical scenarios, and assist practitioners in providing better care.
Your responsibilities include:
- Design and build advanced machine learning models, especially in NLP and large language models, to improve healthcare workflows, patient experience, and scale intelligent health solutions.
- Research and prototype novel algorithms and architectures; bring ideas from concept to working prototypes leveraging deep learning and generative AI.
- Collaborate with product, engineering, medical experts, and stakeholders to translate business needs into impactful research projects and communicate results to technical and non-technical audiences.
- Analyze large, complex datasets to extract insights, define key metrics, and rigorously evaluate model performance.
- Share findings within the team and the wider ML community through publications, talks, and workshops; mentor other scientists and engineers.
Who You Are
- Technical expertise: PhD or Master’s degree (plus significant experience) in Computer Science, Machine Learning, Mathematics, or a related field; publications as first author in top-tier AI/ML conferences are a plus.
- Deep understanding of machine learning and deep learning concepts, with hands-on experience in NLP, LLMs, or generative AI.
- Strong programming skills in Python and experience with ML frameworks such as PyTorch or JAX; familiarity with modern data tools and scalable training on large datasets.
- Innovator & problem solver: track record of driving research and translating it into real-world applications; experience designing experiments and evaluating intrinsic and extrinsic metrics.
- Collaborative & communicative: comfortable in cross-functional teams and able to explain complex concepts to diverse audiences; passionate about sharing knowledge.
- Mission-driven: motivated by Doctolib’s mission to make healthcare better for all; detail-oriented and committed to production-ready solutions.
What we offer
- Free comprehensive health insurance for you and your children.
- 25 days of paid vacation per year, plus up to 14 days of RTT.
- Free mental health and coaching services through partner Moka.care.
- Work from abroad for up to 10 days per year (flexibility days policy).
- Lunch vouchers worth €8.50 per working day (Doctolib covers €4.50).
- Subsidy from the work council to refund part of a sport club or creative class membership.
- 50% reimbursement of public transport subscription.
- Parent Care Program: one additional month of leave on top of legal parental leave.
- Support package for caregivers and workers with disabilities, including remote policy adaptation, extra medical days off, and psychological support.
- Relocation support for international mobility.
- Access to the best AI tools for coding, development and dedicated training.
The interview process
- HR screen
- Call with a Research Team member (30 mins)
- Scientific presentation + case study (1 hour 30 mins)
- Behavioral interview (1 hour 15 mins)
- At least one reference check
Job details
- Permanent position
- Full time
- Location: Doctolib Paris office in Levallois-Perret
- Work mode: Hybrid (3 days/week in the office)
- Start date: ASAP
Doctolib is committed to equal opportunity recruitment and evaluates candidates based on qualifications and motivation only. Applicants are encouraged to exclude personal information (e.g., photos, age) from applications. If you require accommodations during the hiring process, please notify Doctolib.
How to apply
To apply for this role, please use the Apply button on the job page or submit your application through the Doctolib careers site for this posting.
Contact & data privacy
If you have questions about data processing or wish to exercise your rights, contact hr.dataprivacy(at)doctolib.com. Doctolib reviews applications without discrimination and will contact candidates progressing in the process.