1

Algorithm Scientist Jobs in Massachusetts (NOW HIRING)

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of ... Participate in and lead the entire biosignal-based algorithm development lifecycle for medical ...

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

At Beacon, we've found that cultural and scientific impact is driven most by those who lead by ... Participate in and lead the entire biosignal-based algorithm development lifecycle for medical ...

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

At Beacon, we've found that cultural and scientific impact is driven most by those who lead by ... Participate in and lead the entire biosignal-based algorithm development lifecycle for medical ...

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of ... Beacon Biosignals is seeking a Senior Algorithm and Machine Learning engineer! As part of Beacon ...

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

Beacon Biosignals is seeking a Senior Algorithm and Machine Learning engineer! As part of Beacon ... At Beacon, we've found that cultural and scientific impact is driven most by those who lead by ...

Senior Algorithm Engineer

Boston, MA · Remote

$170K - $190K/yr

Beacon Biosignals is seeking a Senior Algorithm and Machine Learning engineer! As part of Beacon ... At Beacon, we've found that cultural and scientific impact is driven most by those who lead by ...

They are searching for an experienced Data Scientist to perform data analysis and algorithm development in various fields to support national security customers. Responsibilities : • Perform data ...

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is searching for an experienced Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification ...

Research Scientists at IBM Quantum operate at the frontier of quantum computing, advancing the ... Your role and responsibilities As a Quantum Algorithm Theorist, you will pursue fundamental ...

New

The Data Science team is responsible for managing all data analytics, reporting and algorithmic aspects for our client. The data science team is an integral part of every function in the life cycle ...

Senior Tracking Scientist

Woburn, MA · On-site

$97K - $133K/yr

As a Senior Tracking Scientist, you will develop disruptive technologies for tracking and fusion programs, engaging in data analysis, algorithm development, and validation for various application ...

Senior Tracking Scientist

Woburn, MA · On-site

$97K - $133K/yr

As a Senior Tracking Scientist, you will develop disruptive technologies for tracking and fusion programs, contributing to data analysis, algorithm development, and validation for various application ...

next page

Showing results 1-20

Algorithm Scientist information

See Massachusetts salary details

$55.7K

$123.2K

$151.7K

How much do algorithm scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for algorithm scientist in Massachusetts is $123,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $151,200.00 per year, depending on experience, location, and employer.

How does an algorithm scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What is an algorithm scientist?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an algorithm scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.

What cities in Massachusetts are hiring for Algorithm Scientist jobs?

Cities in Massachusetts with the most Algorithm Scientist job openings:

Infographic showing various Algorithm Scientist job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,178 per year, or $59.2 per hour.

Algorithm Engineer

Beacon Biosignals

Boston, MA • On-site, Remote

$150K - $170K/yr

Full-time

PTO

Re-posted 12 days ago


Job description

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology.
Beacon Biosignals is seeking a Machine Learning engineer!
As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain the machine and deep learning models that analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development.
At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and-most of all-a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris.
What success looks like
  • Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation.
  • Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective.
  • Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation.
  • Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing.
  • Present results to key stakeholders and assist them in utilizing algorithms for client engagement.
  • Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development.

What you will bring
  • You have more than 4 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a proven track record of bringing algorithms into production.
  • You are experienced with digital signal processing (DSP) and statistics and care about using the right tool for the job, which in many cases might not be machine learning or deep learning.
  • You are proficient in using PyTorch (preferred) or other deep learning frameworks for training, developing, and deploying deep learning models.
  • You are familiar with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training, ...)
  • You follow and adopt best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
  • You are familiar with biosignals, medical imaging data, or large time-series datasets, or are enthusiastic about learning more in the domain.
  • You thrive in a team environment, recognizing that collaboration, open communication, and continuous feedback are essential for collective success.
  • You are able to distill, discuss, and present complex technical topics in a way that is appropriate for the audience at hand, both internally and externally.
  • You are excited to participate in the entire algorithm development lifecycle, which spans scoping, data wrangling, algorithm development/experimentation, formal validation, quality/regulatory documentation, production deployment, and working with clients who might benefit from these algorithms.

The US-based salary range for this role is $150,000 - $170,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.
At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
#LI-Remote