Research Scientist (x/f/m) at Doctolib

✨ The Stack take on this Doctolib job

• 🏢 Doctolib has 2 jobs here, 2 with visa sponsorship see all
• 🛂 Visa: Talent passport. EU Blue Card salary: €59,373 a year (1.5 times the average salary) guide
• 💡 No salary shown. Ask Doctolib if it is above the minimum.

Updated 2026-11-02, from our data and official sources.

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About the role

Responsibilities:
- Research and develop world models of patient health that predict state evolution and responses to care from observational healthcare data.
- Build evaluation methods to test calibration, robustness, interpretability, privacy and out-of-distribution generalisation.
- Translate research into clinical-grade features by partnering with data science, product and engineering teams for deployment at scale.
- Publish results in ML and health informatics venues, engage with the research community, and contribute to open benchmarks and releases.
- Help define the lab’s research agenda, mentor peers and participate in cross-functional decision-making.

Requirements:
- PhD in ML, statistics, CS or related field preferred; strong candidates with a Master's and significant research experience considered.
- Proficiency in Python and PyTorch (or similar frameworks) and experience with representation learning, temporal modelling or causal inference.
- Track record of research output (publications or major projects) and the ability to communicate results to both researchers and product teams.
- Experience with healthcare or medical data is a plus but not required; strong focus on reproducibility, privacy and clinical reliability.
- Collaborative mindset, ability to operate in a fast-growing lab and translate research into product impact.

Responsibilities

Build a world model of patient health learned from observational data with confounding accounted for. Develop evaluation methods for calibration, robustness, interpretability, privacy, and generalization beyond the training distribution. Publish results at leading venues and collaborate with product teams to translate findings into clinical-grade features, helping shape the lab's research agenda.

Requirements

PhD in machine learning, statistics, computer science, or related field (or Master's with significant research). Proficiency in Python and PyTorch; experience with healthcare data is a plus. Strong publication record and ability to translate research into product.

Key skills

• Python — in 1159 other listings on The Stack
• PyTorch — in 89 other listings on The Stack
• machine learning — in 278 other listings on The Stack
• deep learning — in 48 other listings on The Stack
• representation learning — in 1 other listing on The Stack
• self-supervised learning — not in any other listing on The Stack
• large language models — in 44 other listings on The Stack
• multimodal modelling — not in any other listing on The Stack
• causal inference
• temporal modelling
• calibration
• uncertainty quantification

On The Stack (as of 2026-11-02)

• Doctolib has 1 other listing on The Stack, 1 of them marked as offering visa sponsorship.
• 23 visa-sponsored jobs in France on The Stack, posted in the last 60 days.

Frequently asked questions about Doctolib

Is this Research Scientist (x/f/m) role still open?

It was posted on 2026-11-01 and is listed as active on The Stack. Confirm on Doctolib's application page before applying.

Does Doctolib offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Doctolib's site.

Where is this role located?

The listing gives the location as Paris, FR, France. It is marked on-site.

What skills does this role ask for?

The listing names: Python, PyTorch, machine learning, deep learning, representation learning, self-supervised learning, large language models, multimodal modelling, causal inference, temporal modelling, calibration, uncertainty quantification.