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Biomedical Algorithms Engineer Jobs (NOW HIRING)

Masimo

Principal Engineer, Algorithm - ECG

Irvine, CA

$170K - $215K/yr

Develop and optimize algorithms for heart rate detection, arrhythmia identification, and ECG ... Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a ...

Masimo

Principal Engineer, Algorithm - ECG

Irvine, CA · On-site

$170K - $215K/yr

Develop and optimize algorithms for heart rate detection, arrhythmia identification, and ECG ... Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a ...

Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

... algorithm development workflows. * Required Qualifications * Bachelor's degree in engineering, Computer Science, Biomedical Engineering, or a related technical field. * 1-3 years of professional ...

Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

... algorithm development workflows. Required Qualifications * Bachelor's degree in engineering, Computer Science, Biomedical Engineering, or a related technical field. * 1-3 years of professional ...

Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

... algorithm development workflows. * Required Qualifications * Bachelor's degree in engineering, Computer Science, Biomedical Engineering, or a related technical field. * 1-3 years of professional ...

Ceribell, Inc

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184K - $200K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

Ceribell, Inc

Senior/Staff Data Scientist

San Francisco, CA · On-site

$184K - $200K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

Ceribell, Inc

Senior/Staff Data Scientist

San Jose, CA

$184K - $200K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

Intuitive

Sr. Machine Learning Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. * 5+ years of hands-on industrial experience in algorithm development, with a deep specialization in ...

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Biomedical Algorithms Engineer information

What is a biomedical algorithms engineer?

A Biomedical Algorithms Engineer is a professional who develops and implements computational algorithms to analyze biomedical data, such as medical images, physiological signals, or genetic information. They use their expertise in mathematics, computer science, and biomedical engineering to create software that helps diagnose diseases, monitor patient health, or support medical research. These engineers often collaborate with clinicians and researchers to ensure their algorithms are robust, accurate, and clinically relevant. Their work plays a crucial role in advancing medical technologies and improving patient outcomes.

What are the key skills and qualifications needed to thrive as a biomedical algorithms engineer?

To thrive as a Biomedical Algorithms Engineer, you need a solid background in biomedical engineering, computer science, and applied mathematics, typically supported by a relevant degree or advanced coursework. Proficiency in programming languages such as Python or MATLAB, experience with machine learning frameworks, and familiarity with medical imaging or signal processing software are crucial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate medical needs into robust technical solutions. These skills and qualities are essential for developing reliable algorithms that improve patient outcomes and support innovation in healthcare technology.

How does a biomedical algorithms engineer typically collaborate with clinicians and data scientists during the development of medical solutions?

Biomedical Algorithms Engineers often work closely with clinicians to understand specific medical problems and gather domain knowledge, ensuring the algorithms address real clinical needs. They also partner with data scientists to preprocess and analyze large datasets, validate algorithm performance, and refine models based on feedback. Effective communication and interdisciplinary teamwork are essential, as these engineers must translate complex technical concepts into actionable solutions that can be integrated into healthcare workflows.

What is the difference between Biomedical Algorithms Engineer vs Biomedical Data Scientist?

AspectBiomedical Algorithms EngineerBiomedical Data Scientist
Required CredentialsDegree in biomedical engineering, computer science, or related field; knowledge of algorithms and programmingDegree in data science, statistics, or related; strong analytical and programming skills
Work EnvironmentResearch labs, medical device companies, biotech firmsHealthcare institutions, research organizations, biotech companies
Industry UsageDevelops algorithms for medical devices, imaging, diagnosticsAnalyzes healthcare data, patient records, clinical trial data
Common Search & ComparisonFocuses on algorithm development for biomedical applicationsFocuses on data analysis and interpretation in healthcare

The Biomedical Algorithms Engineer primarily develops algorithms for medical devices and diagnostics, requiring strong programming and biomedical knowledge. In contrast, the Biomedical Data Scientist analyzes healthcare data to derive insights, often using statistical and machine learning techniques. Both roles are vital in healthcare innovation but differ in their focus and skill sets.

What are popular job titles related to Biomedical Algorithms Engineer jobs?

For Biomedical Algorithms Engineer jobs, the most frequently searched job titles are:

Infographic showing various Biomedical Algorithms Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Post-Doctoral Position in biomedical data mining

Baltimore, MD • On-site

University of Maryland, Baltimore
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about University of Maryland, Baltimoreexternal

$48K - $66K/yr

Full-time

Re-posted 5 hours ago

University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Job Description
The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as Parkinson's disease. We seek candidates with expertise in data mining, medical image analysis, programming, and Unix/Linux. The candidate is also expected to assist in data management. The candidate must also possess strong communication and organizational skills.
Qualifications
a..Qualifications
A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm, magnetic resonance (MR) image analysis, Unix/Linux Shell programming, FSL, SPM, AFNI, C/C++ programming is preferred.
To Apply
Please email a detailed CV, along with a brief description of relevant past experience to RChen@som.umaryland.edu using "Biomedical data mining postdoctoral researcher position application" in the subject line; any questions may be directed to this email address as well.
Application should also be submitted through Taleo:
The University of Maryland is an equal opportunity , affirmative action employer. All qualified applicants will receive consideration for employment regardless of sex, gender identity, race, color, religion, national original, disability, protected veteran status, age, or any other characteristic protected by law or policy . We value diversity and how it enriches our academic and scientific community and strive towards cultivating an inclusive environment that supports all employees.

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