Senior Scientist, Machine Learning

Position Title: Senior Scientist, Machine Learning & Simulations

Department:    Algorithm

Reports to:      Algorithm, Senior Manager            

Enchannel Medical is redefining the boundaries of electrophysiology with our next-generation DePolar™ mapping system and integrated NanoAblate™ PFA platform. Driven by our global mission to enhance the quality-of-life of cardiac arrhythmia patients, our discerning technology, paired with our passion for innovation, leads to enduring outcomes.

Position Overview

The Senior Scientist, 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 and 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.
• Skilled in developing simulation workflows that combine machine learning and physics-based modeling, enabling accelerated solutions for complex systems.
• Expertise in data-driven model validation and simulation acceleration using PINNs or its variants for time-domain and parametric physical problems.
• Strong programming skills in languages such as Python, MATLAB.
• Experience with ML libraries such as OpenCV, TensorFlow, 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.
• Strong verbal, written, and listening skills to work effectively across multidisciplinary teams; able to explain complex technical concepts clearly and foster open, constructive communication.
• Demonstrates a results-driven mindset with the ability to prioritize, manage changing project requirements, and perform effectively under pressure in a fast-paced startup environment.
• Skilled in time management, planning, and coordination to handle significant workloads, meet deadlines, and deliver high-quality outcomes with attention to detail and accuracy.
• Understands role responsibilities and maintains a proactive commitment to professional development, continuous improvement, and achieving successful results through teamwork and flexibility.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum new hire pay for the position located in California. Within the range, individual pay is determined by location, additional factors, including job-related skills, experience, and relevant education or training. 

EnChannel Medical is an E-Verify and equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any basis covered under acceptable law. 

Only qualified candidates will be contacted.