Scientist Machine Learning Simulations

Position Title:
Scientist, Staff

Department:
Algorithm

Reports to:
Algorithm, Senior Manager

At Enchannel Medical, we’re redefining the boundaries of electrophysiology with our next-generation DePolar™ mapping system and integrated Nano Ablate™ PFA platform. Driven by our global mission to enhance the quality-of-life of heart rhythm patients, our discerning technology, paired with our passion for innovation, leads to enduring outcomes.

Position Overview

This Scientist, Staff (Machine Learning & Simulations), will be a key contributor to our algorithm team, working on innovating and developing new research and product features for our cardiac electrophysiology mapping system. They will be responsible for designing, developing, testing, and improving cardiac simulations used for treating cardiac arrhythmia and collaborating closely with a multidisciplinary team to support system integration and product feature advancements.

They will have an opportunity to design and build end-to-end solutions.

Duties and Responsibilities

The following are the major responsibilities needed for the role. Additional responsibilities, tasks, and duties will be assigned and required as needed.

• Develop biophysics-based simulations to predict optimal ablation sites.
• Optimize the simulation compute resources using statistical, machine learning (ML), and optimization techniques to provide real-time feedback.
• Analyze and interpret complex cardiac signals.
• Develop innovative simulation solutions and collaborate with cross-functional teams to integrate simulation outcomes into the software stack.
• Collaborate with the software engineering team to implement algorithms and ML solutions into computationally efficient, “real-time” operations.
• Evaluation, adoption, and refinement of prototype algorithms developed by our engineers, scientists, and consultants.
• Maintain, update, and document design requirements throughout the entire system life cycle.
• May be required to actively contribute to regulatory filings, patent applications and other industry related publications.
• Responsible for compliance with quality system procedures and all regulatory requirements.
• Consistently promote collaboration, positivity, accountability, and resourcefulness.
• Must demonstrate mutual respect, ongoing communication, and a positive outlook with both internal team members and customers.

Education, Experience and Skills Required

Below are the minimum skills, formal education, certifications or training, and practical experience required to perform the general functions and duties of the role.

• 5+ years of related experience and a Bachelor’s and/or Master’s degree, and/or PhD in a scientific/engineering discipline; or equivalent combination of education and experience.
• Must demonstrate expertise in cardiac electrophysiology, with a strong foundation in applying this knowledge to practical applications.
• Hand-ON experience working with cardiac simulation tools.
• Experience with the use of ML in cardiac anatomy and electrophysiology, ECG, unipolar/bipolar electrogram.
• Strong programming skills in languages such as Python, C++, and MATLAB.
• Experience with ML libraries such as OpenCV, Tensor Flow, and PyTorch.
• Broad understanding of machine learning, deep learning, and statistical techniques.
• Strong problem-solving abilities, with the capacity to develop innovative solutions for complex technical challenges.
• Excellent collaboration skills to work effectively across multidisciplinary teams, including hardware, software, quality, and regulatory groups.
• Time management and organizational skills to prioritize workload efficiently in a fast-paced startup environment.
• Exceptional verbal and written communication skills, including the ability to explain highly technical concepts to non-technical audiences.
• A results-driven mindset, with the ability to adapt quickly to changing project requirements and deliverables.
• Must be able to understand job duties and responsibilities, have the necessary skills/knowledge and be willing and able to continue learning and growing within the field.
• Must be skilled at managing a significant workload and obtaining positive results, taking on additional…