Data Scientist - LLM / NLP (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 consultation assistant that will support the 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 Data Scientist to join our dedicated feature team in charge of shaping the new consultation experience powered by a consultation 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, annotation or validation strategies to improve our speech recognition, summarization and 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 team mate if you :

• Have analytical skills, are result oriented and user first
• Have at least one experience in the domain
• Are proficient in Deep Learning framework :
  Pytorch or Tensorflow
• Have knowledge of the latest NLP architecture (Transformer, LLM) and methods (fine tuning, distillation…)

Now, it would be fantastic if you :

• Are familiar with distributed model training
• Have experience in collaborating with end users to refine your modeling approach
• Have a significant contribution (papers, open source) in the domain

What we offer

• A stock-option program for each Doctoliber
• Quarterly bonuses and a competitive package
• A
  - 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 to work in EU countries and the UK 10 days per year
• A support for relocation in case of international mobilities and new joiners arriving to 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
• 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, 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!

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