Jobs and Careers
CA
Team Lead Data Science
CardiologsFrancefull_timeVerifiedPosted 25 Apr 2023
About the role
At Cardiologs, we aim to democratize access to expert cardiac care through medical-grade artificial intelligence and cloud technology. Our flagship product, the Cardiologs Holter platform, is a leading software for analyzing ambulatory ECG used to help diagnose over 1.8 million patients annually. We are currently venturing into the remote patient monitoring space with the Cardiologs RPM solution, allowing patients to share their smartwatch ECGs with their physicians, who in turn use our cloud-based RPM platform to streamline ECG reviews. In November 2021, we announced that we were being acquired by Philips to expand our cardiac portfolio. We have an innovative, result-oriented work environment where we foster ambition and dedication while being mindful of our teammates’ work and achievements. We also nurture our company culture with monthly all-hands meetings and apéros, and other fun activities.
What you will do
As a Team Lead Data Science, you will be leading a team of 3/4 Data Scientists/Data Engineers developing an algorithm for a new product. Your team will be analyzing large volumes of complex data, building models to help address customer needs, and communicating their findings to both technical and non-technical audiences. You will work closely with technical leadership across Cardiologs, translate customer problems into concrete quantitative analysis, and iterate on the output with stakeholders to bring diagnosis algorithms to the next level.
You will:- Lead a team of 3 Data Scientists / Data Engineers working on the development and validation of a deep learning-based algorithm for a new product- Be responsible for the roadmap of the development and the design of the algorithm in close collaboration with the product and software teams- Be responsible for the design and implementation of a large scale evaluation and preparation of regulatory submission in close collaboration with clinical and regulatory teams- Propose and design machine learning infrastructure to leverage a database of 20 million ECGs- Deploy machine learning features or models in production- Investigate new applications of AI in healthcare
Who you are
- You have been developing deep learning models for 3+ years and know how to apply and deploy them to solve real-world problems- An autonomous, committed, enthusiastic engineer/MSc/Ph.D. in mathematics, physics, or computer science, with a "can-do", creative and challenging mindset- You have know-how in different deep learning techniques and their performance in practice- You have up-to-date knowledge of the recent developments in the field of deep learning- You have already worked with Python, Git, and a deep learning framework (Keras, Tensorflow, Pytorch, …)- Fluent in spoken and written English, and have at least basic notions in French
What we value We value a positive mindset, collaboration, a sense of ownership, transparency, the ability to embrace ambiguity, a talk-less-do-more attitude, and a sense of humor to enjoy ourselves along the way. If you identify with our values and want to contribute to our company, we’d love to have you in! What we offer - Beautifully by-the-book startup offices in central Paris (we are in the 2nd arrondissement) - A respectful, fun, collaborative work environment- Flexible WFO/WFH policy- Lunch vouchers (Swile card)- Daily fresh fruits and healthy (or not) snacks- Monthly apéros- Yearly team off-sites Our recruiting processBeing authorized to work in the EU is a precondition of employment. 1- Quick introductory HR phone call (20-30 min)2 - Technical part: - Quick tech call 15-20 min to do a short algo exercise on Python with one of the Data Scientists of the team - Homework to prepare the Technical interview in our office or by Zoom with the Hiring Manager and a team member (90 min)3 - Performance interview in our office or by Zoom with 2 different persons from the team (90 min)4 - Culture interview (with lunch or drinks with the team if possible!) with 2 different persons from the team (90 min) To close the process, we'll do some reference calls. In parallel, we'll organize a quick call (15-20 min) with France Schwarz, our General Manager (only if you did not have the opportunity to meet him in one of the previous interviews).
What you will do
As a Team Lead Data Science, you will be leading a team of 3/4 Data Scientists/Data Engineers developing an algorithm for a new product. Your team will be analyzing large volumes of complex data, building models to help address customer needs, and communicating their findings to both technical and non-technical audiences. You will work closely with technical leadership across Cardiologs, translate customer problems into concrete quantitative analysis, and iterate on the output with stakeholders to bring diagnosis algorithms to the next level.
You will:- Lead a team of 3 Data Scientists / Data Engineers working on the development and validation of a deep learning-based algorithm for a new product- Be responsible for the roadmap of the development and the design of the algorithm in close collaboration with the product and software teams- Be responsible for the design and implementation of a large scale evaluation and preparation of regulatory submission in close collaboration with clinical and regulatory teams- Propose and design machine learning infrastructure to leverage a database of 20 million ECGs- Deploy machine learning features or models in production- Investigate new applications of AI in healthcare
Who you are
- You have been developing deep learning models for 3+ years and know how to apply and deploy them to solve real-world problems- An autonomous, committed, enthusiastic engineer/MSc/Ph.D. in mathematics, physics, or computer science, with a "can-do", creative and challenging mindset- You have know-how in different deep learning techniques and their performance in practice- You have up-to-date knowledge of the recent developments in the field of deep learning- You have already worked with Python, Git, and a deep learning framework (Keras, Tensorflow, Pytorch, …)- Fluent in spoken and written English, and have at least basic notions in French
What we value We value a positive mindset, collaboration, a sense of ownership, transparency, the ability to embrace ambiguity, a talk-less-do-more attitude, and a sense of humor to enjoy ourselves along the way. If you identify with our values and want to contribute to our company, we’d love to have you in! What we offer - Beautifully by-the-book startup offices in central Paris (we are in the 2nd arrondissement) - A respectful, fun, collaborative work environment- Flexible WFO/WFH policy- Lunch vouchers (Swile card)- Daily fresh fruits and healthy (or not) snacks- Monthly apéros- Yearly team off-sites Our recruiting processBeing authorized to work in the EU is a precondition of employment. 1- Quick introductory HR phone call (20-30 min)2 - Technical part: - Quick tech call 15-20 min to do a short algo exercise on Python with one of the Data Scientists of the team - Homework to prepare the Technical interview in our office or by Zoom with the Hiring Manager and a team member (90 min)3 - Performance interview in our office or by Zoom with 2 different persons from the team (90 min)4 - Culture interview (with lunch or drinks with the team if possible!) with 2 different persons from the team (90 min) To close the process, we'll do some reference calls. In parallel, we'll organize a quick call (15-20 min) with France Schwarz, our General Manager (only if you did not have the opportunity to meet him in one of the previous interviews).
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s