Job Description

Biomedical Machine Learning Engineer

Analog Devices, Inc. is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible.

Analog Devices designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure, and connect. Analog Devices is a world leader in the design, manufacture, and marketing of a broad portfolio of high-performance analog, mixed-signal, and digital signal processing (DSP) integrated circuits (ICs) used in virtually all types of electronic equipment. Since our inception in 1965, we have focused on solving the engineering challenges associated with signal processing in electronic equipment. Used by over 100,000 customers worldwide, our signal processing products play a fundamental role in converting, conditioning, and processing real-world phenomena such as temperature, pressure, sound, light, speed, and motion into electrical signals to be used in a wide array of electronic devices. We focus on key strategic markets where our signal processing technology is often a critical differentiator in our customers' products, namely the industrial, automotive, communications, and consumer markets.

Analog Devices, Inc. is looking for a Biomedical Machine Learning Engineer to join our Medical Products Group in Wilmington, Massachusetts. As a Biomedical Machine Learning Engineer in ADI's medical products group, this position will be responsible for developing a machine/statistical learning algorithm and analyzing the clinical data to help build core competency of clinical insights for ADI's medical products' chronic disease management solutions. The successful candidate will work in a fast-paced, global team of software/hardware/system engineers, user experience designers as well as third-party stakeholders to deliver clinical-grade end medical products.

Essential Duties and Responsibilities

• Develop a machine/statistical learning algorithm/model to solve problems in healthcare with clinical insights and interpretation.
• Analyze and manage a large volume of clinical data to expand understanding in chronic disease management.
• Define, and assess the opportunities to adapt advanced machine learning models to address customer needs in the regulated healthcare industry.
• Engage with multi-disciplinary teams of software/hardware systems/firmware and business/marketing to continue to develop and improve the medical system.
• Support satisfying regulatory and quality requirements as a medical device manufacturing company.

Minimum Qualifications

• Bachelor's degree in computer science or statistics with versatile machine learning experiences or equivalent.
• Strong background in data science and statistics with preferred research experience with statistical analysis on a large volume of data
• Solid understanding in medical physiology.
• Efficient communication and presentation skills for external stakeholders of medical professionals as well as the internal development team with various disciplines.

Additional Desirable Skills, Knowledges and Abilities

• Experience of software development in the cloud environment such as AWS, GCP Azure and etc.
• Experience in engaging with medical professionals.
• Working knowledges of various programming languages (Python, MATLAB, C/C++, and etc.)
• Being able to work in a fast-paced work environment.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

The expected wage range for a new hire into this position is $108,800 to $149,600. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

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