1

Biomedical Algorithms Engineer Jobs (NOW HIRING)

PhD in biomedical engineering, electrical engineering, neural engineering, biostatistics, computer ... algorithms in a cross-functional environment, ideally involving sensor time-series data * Solid ...

Staff R&D Engineer-Algorithm

San Jose, CA · On-site

$210K - $288K/yr

... Biomedical Engineering, Computer Science, or related field. * Hands-on industry experiences developing and deploying algorithms for wearable or IoT-based health and fitness products. * Deep expertise ...

New

PhD in biomedical engineering, electrical engineering, neural engineering, biostatistics, computer ... algorithms in a cross-functional environment, ideally involving sensor time-series data * Solid ...

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

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

next page

Showing results 1-20

Biomedical Algorithms Engineer information

What are the key skills and qualifications needed to thrive as a Biomedical Algorithms Engineer, and why are they important?

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 do Biomedical Algorithms Engineers 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 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 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.

Infographic showing various Biomedical Algorithms Engineer job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.
Biomedical Data Science Engineer - Health Technologies

Biomedical Data Science Engineer - Health Technologies

Apple

San Diego, CA

$134K - $245K/yr

Full-time

Medical, Dental, Retirement

Posted 21 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

The Health Technologies Team conceives and proves out exciting new technology for Apple’s future products and features. In this role, you can be involved in the end-to-end new product development cycle for health and wellness technologies, from product ideation and feasibility assessment to algorithm implementation and product validation. Join our team to create extraordinary features that represent the cutting edge of innovation in the dynamic consumer health field.
Description
In this role, you’ll collaborate with multidisciplinary teams to create innovative health products and features. As a biomedical data scientist, your responsibilities will include: -design and support of lab and human studies ranging from small scale pilot investigations to large scale sensor fusion studies -distill and interpret study findings to assess system performance and confounders -define and evaluate sensor feasibility criteria, including KPI development, mapping user experience requirements to sensor specifications -develop analysis tools to evaluate and interpret physiological time series sensor data -design, implement, and validate physiological models and algorithms -develop data visualization strategies for sharing complex data and study findings to influence project decisions and direction. The role requires effective collaboration with team members spanning a broad range of expertise and disciplines. Flexible thinking, adaptability to change, comfort with ambiguity, and ability to work both independently as well as in a team setting are hallmarks of success on our team.
Preferred Qualifications
PhD in Biomedical engineering or other engineering discipline with relevant prior experience.
Experience with deep learning frameworks (e.g., PyTorch) including model training, loss function design, optimization, and cross-validation.
Experience with statistical testing methods and their application to experimental data analysis.
Experience with distributed processing frameworks (e.g., Spark, Dask) for large-scale data workflows.
Experience with data management, organization, storage, and retrieval.
Minimum Qualifications
MS in Biomedical engineering or other engineering discipline with relevant prior experience with time-series physiological sensors, devices, and applications.
Must have a strong understanding of human physiology coupled with experience in the use of multi-sensor systems to measure, characterize, and analyze time-series physiological signals.
Must have experience using Python to process, analyze, and visualize data. Must be facile with the corresponding Python tools (e.g., matplotlib, plotly, tableau, etc.).
Must be highly organized and able to thrive in a fast-paced environment. Must have excellent communication skills.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $134,800 and $245,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976