2

Remote Biomedical Signal Processing Engineer Jobs in Boston, MA

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

... systems engineering, machine learning, natural language processing, generative AI, signal ... Remote -- United States Employment type: Full-time About 3Play Media 3Play Media is a technology ...

next page

Showing results 1-20

Remote Biomedical Signal Processing Engineer information

See Boston, MA salary details

$58.1K

$142.7K

$210.2K

How much do remote biomedical signal processing engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote biomedical signal processing engineer in Boston, MA is $142,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $160,200.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote Biomedical Signal Processing Engineers, and how can they be addressed?

Remote Biomedical Signal Processing Engineers often face challenges related to collaborating with interdisciplinary teams, ensuring data security, and accessing necessary hardware for testing algorithms. To overcome these, it's important to establish clear communication channels with colleagues, make use of secure data transfer protocols, and leverage remote access to lab equipment or simulators when possible. Regular virtual meetings and documentation can help maintain alignment with project goals and facilitate effective teamwork.

What does a Remote Biomedical Signal Processing Engineer do?

A Remote Biomedical Signal Processing Engineer analyzes and interprets physiological signals—such as ECG, EEG, or EMG—using advanced computational and mathematical methods. They work remotely to develop algorithms and software that aid in medical diagnostics, patient monitoring, and healthcare research. Their role often involves cleaning, filtering, and extracting meaningful information from complex biological data to support clinical decisions or scientific studies. Collaboration with medical professionals and teams is common, and strong knowledge of signal processing, biomedical engineering, and programming is essential.

What is the difference between Remote Biomedical Signal Processing Engineer vs Remote Medical Data Analyst?

AspectRemote Biomedical Signal Processing EngineerRemote Medical Data Analyst
Required CredentialsBachelor's or Master's in Biomedical Engineering, Electrical Engineering, or related fields; knowledge of signal processingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, healthcare tech companies, hospitals; focus on signal dataHealthcare organizations, research institutions; focus on large datasets
Employer & Industry UsageMedical device companies, biotech firms, hospitalsHealthcare providers, research organizations, health tech startups

While both roles involve working with healthcare data, Remote Biomedical Signal Processing Engineers focus on analyzing and developing algorithms for biomedical signals like ECG or EEG. Remote Medical Data Analysts interpret large health datasets to derive insights. The roles differ mainly in technical focus and data types but often collaborate within healthcare tech environments.

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

To thrive as a Remote Biomedical Signal Processing Engineer, you need expertise in signal processing, biomedical engineering, and a strong background in mathematics and statistics, usually supported by a relevant degree. Familiarity with tools like MATLAB, Python (NumPy, SciPy), and experience with medical device data protocols and regulatory standards are commonly required. Strong problem-solving, self-motivation, and clear communication skills help you work effectively in a remote, interdisciplinary environment. These abilities are crucial for developing accurate, regulatory-compliant solutions that improve healthcare outcomes while collaborating remotely with diverse teams.
What are the most commonly searched types of Biomedical Signal Processing Engineer jobs in Boston, MA? The most popular types of Biomedical Signal Processing Engineer jobs in Boston, MA are:
What are popular job titles related to Remote Biomedical Signal Processing Engineer jobs in Boston, MA? For Remote Biomedical Signal Processing Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Signal Processing Engineer jobs in Boston, MA look for? The top searched job categories for Remote Biomedical Signal Processing Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Biomedical Signal Processing Engineer jobs? Cities near Boston, MA with the most Remote Biomedical Signal Processing Engineer job openings:
Infographic showing various Remote Biomedical Signal Processing Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $142,697 per year, or $68.6 per hour.
Senior Applied Data Scientist

Senior Applied Data Scientist

3Play Media

Boston, MA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 6 days ago


Job description

The Role

We are looking to grow our core Applied Science team by adding a "Senior Applied Data Scientist". This is an individual contributor role on a highly collaborative team. The Applied Science team is a self-sufficient, product development team that applies research and experimentation to fulfill its goals of developing and maintaining business-critical software systems. In short, you'll be a full-stack applied data scientist and software developer. 3Play Media has diverse business and technical challenges related to media transcription, captioning, audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural language processing, generative AI, signal processing, applied probability and statistics, data analysis, and controlled experimentation. You'll be expected to contribute to and learn about several of these domains.

We are looking for a curious, communicative, collaborative, humble, self-sufficient, and flexible data scientist. The ideal candidate is energized by the craft of building efficient, reliable software systems alongside sensible, robust machine learning and AI models. You'll approach engineering and data science as disciplines that are always evolving, and you actively seek out and weigh new approaches rather than settling into the familiar. Above all, you understand that this work is a team sport: you know that strong collaboration, durable relationships, and genuinely diverse perspectives aren't nice-to-haves but the foundation of doing it well.

What You'll Do
  • Contribute to a shared codebase, using GitHub and other modern collaboration tools, such as agentic coding systems
  • Perform the technical elements of a variety of product development and data analysis projects (prototyping, evaluation, productionization, and maintenance), especially related to audio and video processing, generative AI, predictive modeling, and NLP
  • Participate in the internal peer review process, including design reviews, code reviews, and data analysis reviews
  • Design, manage, and analyze controlled experiments within our production systems
  • Regularly report on progress, results, findings, risks, and opportunities
Who You AreMust-haves
  • 2+ years full time working experience in signal processing, data science, or machine learning roles, including predictive modeling, data processing, and data analysis responsibilities
  • Extremely strong communication skills, both verbally and in writing
  • Strong familiarity with Python coding, utilizing industry standard libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn)
  • Interest in presenting technical and business-oriented information to a variety of audiences, including senior management and customers
  • BS/ MS / PhD in Data Science, Engineering, Computer Science or a related field
Nice-to-haves
  • Strong academic and professional experience with audio signal processing, speech synthesis, and computer vision
  • Experience writing, deploying, and maintaining Python and SQL code in a production setting
  • Experience building and maintaining production machine learning systems in a cloud-based platform, such as AWS SageMaker
  • Experience developing and maintaining custom deep learning models using pytorch and HuggingFace, especially models involving text, audio, and video data
  • Experience using third-party generative AI systems, including prompt engineering and fine-tuning
  • Experience in the accessibility and localization industries
⚡ AI at 3Play

3Play is building AI into how we work across every function. We don't expect expertise — we expect curiosity. If you've used AI tools to work smarter, automated something that used to be manual, or found a better way to do your job with technology, that mindset belongs here.

Compensation & Location

Base salary range: $150k - $180k

Location: Remote — United States

Employment type: Full-time

About 3Play Media

3Play Media is a technology company making video accessible to everyone. Our captioning, transcription, audio description, and localization solutions serve over 10,000 customers — universities, media companies, enterprises, and government organisations across the US and Canada.

We were founded at MIT Sloan in 2007 and have been building deliberately ever since. The team is small, fast-moving, and low on politics. The work you do here is visible from day one. Headquarters in Boston, MA with offices in Minneapolis, MN and Calgary, AB.

3Play Media is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from candidates of all backgrounds.