For over 50 years, the Critical Care business within Edwards has operated at the intersection of groundbreaking medical innovation and improved patient care. Put simply, we exist because we’re committed to creating a world where every patient who should be monitored will be monitored with smart technology.If you're eager to contribute your expertise and commitment to Critical Care’s mission, we invite you to explore these career opportunities. Those who join us or continue their current journey within Critical Care will play their own part in improving the quality of care and outcomes for millions of patients around the world.Appendix:On June 3, 2024, Edwards announced that it had entered into a definitive agreement to sell its Critical Care product group to BD (Becton, Dickinson and Company) (NYSE: BDX). It remains business as usual at Edwards until the transaction closes. More information on Edwards’ announcement about the acquisition can be found here: http://www.edwards.com/newsroom/news/2024-06-03-edwards-lifesciences-to-sell-critical-care-to-bdWe are seeking an exceptional and self-motivated Senior Algorithm Engineer to join our growing R&D team at Edwards Lifesciences located in Irvine, California.How you will make an impact:
Applying machine learning and signal processing techniques to develop advanced algorithms for patient monitoring.
Performing statistical data analyses to characterize performance of algorithms
Performing research and feasibility of new concepts.
Collaborating with clinicians to conduct clinical trials and publish scientific articles.
Analyzing complex physiological and clinical data, animal model data, algorithm results data, and machine learning model performance data.
What you'll need (Required):
Bachelor's Degree in Engineering or Scientific field with 4 years of experience, including either industry or industry/education -OR-
Master's Degree or equivalent in Engineering or Scientific field with 3 years of experience, including either industry or industry/education -OR-
Ph.D. or equivalent in in Engineering or Scientific field (strongly preferred)
Hands-on experience with machine learning and signal processing
Strong programming skills in Python or MATLAB
What else we look for (Preferred):
PhD degree in Electrical Engineering, Computer Science, Biomedical Engineering, or Statistics is strongly preferred
Strong experience with deep reinforcement learning
Strong experience with general machine learning and deep learning techniques (CNN, LSTM, Transformer, etc.)
Strong experience in digital signal processing, mathematical modeling and algorithm development
Statistical data analysis experience
Highly motivated self-starter who is able to achieve results with minimal direction
Proactive and creative in achieving goals
Experience working with biomedical time series data (arterial blood pressure, ECG, EEG, etc.)
Knowledge of patient monitoring and human physiology
Depending on background and experience, candidate may be considered at lower or higher levelsAligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.For California, the base pay range for this position is $113,000 to $161,000 (highly experienced).The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.COVID Vaccination RequirementEdwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.
