Biomedical Engineer at Analog Devices
Wilmington, Massachusetts, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

0.0

Posted On

31 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Hospital/Health Care

Description

ADI

) 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™. Learn more at
www.analog.com
and on
LinkedIn
and
Twitter (X)
.
Analog Devices, Inc. is looking for a Biomedical Engineer to join our Medical Products Group. As a Biomedical Engineer in ADI’s medical products group, this position will be responsible for conducting a biomedical research and development to help build core competency of clinical insights for ADI’s medical products. 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 algorithms to extract clinically relevant information in disease management from various sensor signals.
  • Analyze and manage a large volume of clinical data to expand digital healthcare team’s understanding in chronic disease management
  • Literature search and literature monitoring for new technology methods for monitoring of health parameters (i.e. blood pressure, lung fluids, airway obstruction, etc…)
  • Minimum Qualifications
  • Bachelor’s to Master’s degree in EE/CS or biomedical engineering background or equivalent.
  • 0-2 years of experience
  • Strong analytical and problem-solving skills.
  • Experiences in data science and machine learning techniques
  • Strong signal processing background and proficiency in algorithm development
  • 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.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
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.
Job Req Type:
Required Travel:
Shift Type

Responsibilities
  • Develop algorithms to extract clinically relevant information in disease management from various sensor signals.
  • Analyze and manage a large volume of clinical data to expand digital healthcare team’s understanding in chronic disease management
  • Literature search and literature monitoring for new technology methods for monitoring of health parameters (i.e. blood pressure, lung fluids, airway obstruction, etc…)
  • Minimum Qualifications
  • Bachelor’s to Master’s degree in EE/CS or biomedical engineering background or equivalent.
  • 0-2 years of experience
  • Strong analytical and problem-solving skills.
  • Experiences in data science and machine learning techniques
  • Strong signal processing background and proficiency in algorithm development
  • 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
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