Senior Data Scientist - Medical NLP Expert (x / f / m) - AI Teams

At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI. As a Data Scientist, you'll play a critical role in developing and implementing cutting-edge AI solutions that will enable us to create an AI medical assistant that will support Healthcare Professionals in their day-to-day job.

In this role, you'll have the opportunity to work with a team of talented data scientists, software engineers, machine learning engineers, and healthcare professionals to develop and deploy AI models that will have a real impact on people's lives.

Doctolib is looking for a Senior Data Scientist to join our dedicated feature team in charge of shaping the new consultation experience powered by a medical assistant.

Let’s make a direct impact of your work with easy access to final users (practitioners) or subject matter experts to empower our Clinical Product with AI.

Your responsibilities include but are not limited to:

• Create, find, or adapt model architecture to improve our medical data structuration engines.
• Implement your ideas and test them.
• Deploy your algorithms in production guided by our ML platform team.
• Measure the uplift and continuously improve your approach.

Who you are:

If you don’t meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply!

You could be our next teammate if you:

• Have analytical skills, are results-oriented, and user-first.
• Have 3 years of experience in the health NLP domain or shorter but with significant contributions (papers).
• Knowledge of NLP architecture (deep or non-deep).
• Knowledge of medical specificities like terminologies.

Now, it would be fantastic if you:

• Are at ease collaborating with ML engineers to consider production constraints.
• Have experience collaborating with end users to refine your modeling approach.

What we offer:

• A stock-option program for each Doctoliber.
• Quarterly bonuses and a competitive package.
• A 6-month dedicated onboarding program - the Doctolib Academy.
• Continuous training programs on all key competencies (English, soft skills, expertise).
• Transparent internal mobility opportunities you're welcome to apply for.
• 2 days per year to help health charities and create a positive social impact - the Solidarity Days.
• Mental health and wellbeing offer in partnership with moka.care.
• The Doctolib Parent Care Program, including extended parental leave, meet-ups, and inspiring conferences.
• High-quality office spaces supporting collaboration, health, and wellbeing.
• A subsidy from the work council to refund part of the membership to a sport club or a creative class.
• A competitive health insurance paid 100% by the company.
• Subsidy for lunch and various food offers in our offices.
• A flexible workplace policy offering both hybrid and office-based mode.
• Flexibility days allowing you to work in EU countries and the UK for 10 days per year.
• Support for relocation in case of international mobilities and new joiners arriving in France, Germany, and Italy from another country.

The interview process:

• HR Screen.
• Interview with 2 members of the Data Science team.
• Case Study & Case restitution.
• Final interview with the DS Director.
• At least one reference check.

Job details:

• Full Time.
• Workplace: Paris area.
• Remuneration: fix + bonus on objectives (according to your profile).

A stock options plan for every Doctoliber:

At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from or what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib; we respect and celebrate it!

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, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you!