Job Description
About us 💙 Implicity is a digital MedTech, that brings outstanding innovations to cardiologists, thanks to Big Data and Artificial Intelligence. Thanks to our leading cardiac remote monitoring platform, it’s way easier to manage data and predict patient issues, so that cardiologists can bring the best care at the best time. To put it simply, when you join Implicity, you’ll contribute to save lives with us 💓🩺 Dr Arnaud Rosier (cardiologist and AI researcher) & David Perlmutter (engineer and entrepreneur), co-founded Implicity in 2016. 10+ years later, a French Start-Up / Scale-Up 🐓 is a real game changer in the healthcare market, literally shaping the future of cardiology. 250+ hospitals / medical centers are already using our solutions, covering 100 000+ patients. 👩🏻👨🏿👱🏻 At Implicity, you will find the greatest experts in data science, engineering, clinical, regulatory, IT, sales, customers success, etc. working together. This amazing team already managed to make Implicity a clear European leader, and we will very soon do the same in the US market. In a nutshell, thanks to Implicity: 🏆 Patients get a far better care 🏆 Doctors’ life is far easier, they can have a far better focus on prevention/treatment, and not admin/data burden 🏆 Healthcare payers (Social Security in France) eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing) It can start as soon as you can! Job and recruitment context We are hiring a Deep Learning Engineer to join the Software as Medical Device (SaMD) squad. At Implicity, we're transforming the management of cardiac conditions by providing innovative AI-powered medical devices. Our squad is building, deploying and maintaining advanced solutions that empower healthcare professionals, optimise their workflows, and ultimately improve patient lives. As part of our skilled and collaborative team, you'll have the opportunity to translate varied and complex data into clinically impactful projects in an environment where we promote continuous learning, innovation and knowledge sharing, providing dedicated time for experimentation and professional development. 🤝 Reporting structure Direct report: Marika (Data Scientist Manager). Collaboration: You will work closely with the SaMD squad (Data Scientists and ML Engineers), the Clinical team for medical relevance, and the Product Manager for roadmap alignment. Cross-functional collaboration is at the heart of how we operate. 🧠 Your missions As Deep Learning Engineer, your core mission will include: Deep Learning R&D: Drive the research, development and validation of state-of-the-art Deep Learning architectures (Transformers, Temporal CNNs) for various time-series data from Cardiac Implantable Electronic Device (CIED) signals. Self-Supervised Learning: Build and optimize Self-Supervised Learning pipelines to leverage our database of +100,000 patients. Health Data Hub: Explore the SNDS data via the Health Data Hub, unlocking new research opportunities at scale. Scientific rigor: Ensure the reproducibility, scientific correctness and transparency of each experiment, and medical relevance of our AI projects for both patients and caregivers. Scientific publications: Contribute to scientific publications in collaboration with our Clinical team. 🥇 Your profile and mindset Must have: Education: A Master's degree, Engineering degree, or PhD in a relevant field such as Data Science, AI, Applied Mathematics, or a related discipline 5 years of hands-on experience in Data Science An extensive knowledge of Machine Learning / Statistics, Deep Learning frameworks, Python and SQL Proficiency in French and English Ability to work autonomously, proactively develop new skills, and share knowledge within the team A team player mindset, with a genuine desire to contribute to the success of your colleagues Bonus points: Experience with handling large datasets and experiment tracking in cloud environments Experience with developing and maintaining production-grade software systems A passion for working in a dynamic and rapidly evolving environment Even better: Direct experience with Software as Medical Devices that have achieved CE marking or FDA approval Prior experience within the healthcare industry Experience with time-series analysis or bio-signal processing (ECG, EGM, EEG) A note on applying: We are looking for an experienced Deep Learning Engineer, but we know the perfect candidate doesn't exist. Your growth is our priority: we strongly encourage you to apply even if your experience doesn't perfectly align with every point listed. We value diverse backgrounds, a growth mindset and passion for learning and contributing to our mission.
