What You Will Do
At Doctolib, we're revolutionizing healthcare delivery through advanced AI systems focused on medical reasoning. As a Senior Staff Research Scientist, you'll develop cutting-edge AI solutions that enhance clinical decision-making and support healthcare professionals in their daily practice. You'll work at the intersection of machine learning and healthcare, creating models that can understand medical knowledge, reason through complex clinical scenarios, and assist medical practitioners in providing better care.
Your responsibilities include (but are not limited to):
- Solve Real-World Healthcare Challenges: Design and build advanced machine learning models, especially in NLP and large language models, to improve healthcare workflows, enhance patient experiences, and power intelligent health solutions at scale.
- Innovate & Experiment: Research and prototype novel algorithms and architectures, staying at the forefront of AI/ML developments. Bring new ideas from concept to working prototypes, leveraging the latest advances in deep learning and generative AI.
- Collaborate Across Teams: Work closely with product, engineering, medical experts, and other stakeholders to translate business needs into impactful research projects. Communicate technical concepts and results clearly to both technical and non-technical audiences.
- Drive Impact: Analyze large, complex data sets to extract actionable insights, define key metrics, and rigorously evaluate model performance.
- Share & Learn: Advance Doctolib’s AI expertise by sharing findings within the team and with the wider ML community through publications, talks, and workshops. Mentor and support other scientists and engineers in adopting best practices.
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 such as NeurIPS, ICLR, ICML, ACL, EMNLP, or relevant medical informatics venues 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 ideally 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 independently driving research and translating it into real-world applications.
- Experience designing experiments, evaluating intrinsic and extrinsic metrics, and iterating quickly.
- Curiosity and drive to learn, research, and apply new machine learning techniques.
- Collaborative & Communicative:
- Comfortable working in highly cross-functional teams, with the ability to clearly communicate complex concepts to diverse audiences.
- Passionate about sharing knowledge and contributing to a culture of learning and innovation.
- Mission-Driven:
- Motivated by Doctolib’s mission to make healthcare better for all. Eager to solve meaningful problems with technology.
- Detail-oriented, rigorous, and committed to delivering high-quality, 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 our partner Moka.care
-
Work from abroad for up to 10 days per year thanks to our flexibility days policy
-
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
-
A subsidy from the work council to refund part of the membership to a sport club or a creative class
-
50% reimbursement of your public transport subscription
-
Parent Care Program: receive one additional month of leave on top of the legal parental leave
-
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
-
Relocation support in case of international mobility
-
Access to the best AI tools for coding, development and dedicated training
The interview process
- HR Screen
- Call with Research Team Member 30 mins
- Scientific Presentation + Case Study 1 hour 30mins
- Behavioral Interview 1 hour 15mins
- 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
If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!
At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.
To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.
Join us in building the healthcare we all dream of!
All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.