Senior Principal Algorithms Engineer, BD Advanced Patient Monitoring

Becton Dickinson (BD) recently completed the acquisition of the Edwards Critical Care business. This position is part of the Critical Care division, and as such will become a part of the BD organization in the future. Critical Care will operate as a separate business unit, called Advanced Patient Monitoring (APM) within BD's medical segment, aligning with BD's smart connected care approach. BD is one of the largest global medical technology companies in the world and is advancing the world of health by improving medical discovery, diagnostics and the delivery of care. If you are invited to interview for this position, a recruiter will provide further details about this exciting transition. Learn more about BD at bd.com  

How you will make an impact:

We are seeking an exceptional self-motivated Sr. Principal Algorithm Engineer to join our growing R&D team at Becton, Dickinson and Company located in Irvine, California. 

• Lead the development of advanced algorithms for patient monitoring using machine learning and signal processing techniques

• Perform statistical data analyses to characterize performance of algorithms

• Collaborate with clinicians to conduct clinical trials and publish scientific articles.

• Collaborate with cross functional team on regulatory submissions and launching products

What you'll need (Required):

• Bachelor's Degree in in Engineering or Scientific field, 8 years of experience, including either industry or industry/education -OR-

• Master's Degree or equivalent in in Engineering or Scientific field, 7 years of experience, including either industry or industry/education Required -OR-

• Ph.D. or equivalent in in Engineering or Scientific field, 4 years of experience, including either industry or industry/education

What else we look for (Preferred):

• PhD degree in electrical engineering, computer science, biomedical engineering, statistics, or relevant field is required.

• Strong programming skills in Python or MATLAB is required.

• Strong experience with deep reinforcement learning is required.

• Strong experience with general machine learning and deep learning techniques (CNN, LSTM, Transformer, etc.) is required.

• Strong experience in digital signal processing, mathematical modeling and algorithm development is required.

• Strong statistical data analysis skill is required.

• Highly motivated self-starter who is able to achieve results with minimal direction.

• Experience working with biomedical time series data (arterial blood pressure, ECG, EEG, etc) is a plus.

• Experience with control theory is a plus.

• Knowledge of patient monitoring and human physiology is a plus.

**Depending on background and experience, candidate may be considered at lower or higher levels**

Aligning 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 $145,000 to $205,000 (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 Requirement

Edwards 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.