Biomedical Machine Learning Engineer Intern

If you're a hands-on, self-driven individual with a passion for improving patient outcomes, this is the perfect opportunity for you.

The digital signal processing aspect of the work involves innovating new approaches to analyzing human data over time including physiological data.

• Design of advance signal processing algorithms for portable diagnostic devices.
• Develop machine learning and deep learning models for various vital sign calculations
• Collaborate with our tech stack to operationalize applications, including API development.
• Drive product innovation by exploring new ways to improve our offerings.
• Document progress and utilize critical thinking for decision-making on implemented methods.

Your daily tasks will be designed in close corporation with the CTO and our R&D team.

• Have at least a BSc in Biomedical Engineering, Electric Engineering, Computer science or similar health science engineering degree.
• Strong knowledge of physiology of biological systems such as heart, lungs, and brain etc.
• Proficiency in DSP, Data Science Pattern recognition, and ML/DL for DSP.
• Strong programming skills in Python
• Experience in Embedded C (Optional)
• Quick and Independent learner, not afraid of taking initiatives.
• Passion for delivering solutions in the healthcare sector.
• Familiar with the regulations and standards implications for the documentation of a medical device.

• Join a team of passionate individuals and make a real impact on our business.
• Flexible working hours to make the most of your time.
• Hybrid work opportunities, allowing you to perform at your best.
• We value eagerness to learn and positive energy, so apply even if you meet only some of the criteria.
• Expect responsibility, challenges, professional and personal growth, and 24/7 office space availability.
• Enjoy social events and receive a letter of recommendation.

For more information, please contact us and to apply, please send us an application via The Hub. Join IMP and be part of our mission to enhance patient quality of life, streamline supervision and monitoring, and empower health-related decision-making in the healthcare sector.