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Remote Healthcare Machine Learning Jobs in Boston, MA

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... of healthcare data standards (e.g., FHIR, HL7). * Familiarity with machine learning concepts and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

... of healthcare data standards (e.g., FHIR, HL7). * Familiarity with machine learning concepts and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... of healthcare data standards (e.g., FHIR, HL7). * Familiarity with machine learning concepts and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

YO AI Labs

Healthcare Attorney - Remote

Boston, MA · Remote

$140 - $400/hr

Job Title: Healthcare Attorney Job Type: Contractor Location: Remote (United States Only) Job Overview We are seeking experienced Healthcare Attorneys to contribute their legal expertise to an ...

YO AI Labs

Healthcare Attorney - Remote

Boston, MA · Remote

$140 - $400/hr

Job Title: Healthcare Attorney Job Type: Contractor Location: Remote (United States Only) Job Overview We are seeking experienced Healthcare Attorneys to contribute their legal expertise to an ...

Beacon Biosignals

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ... experience in machine learning and deep learning, particularly in health sciences or other ...

OneStudyTeam

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

You'll work in a highly regulated healthcare data environment, ensuring compliance with privacy ... Implement processes to monitor machine learning models in production, detecting bias or performance ...

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All JobsHealthcare Machine Learning JobsRemote Healthcare Machine Learning JobsRemote Healthcare Machine Learning Jobs in Boston, MA

Remote Healthcare Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do remote healthcare machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote healthcare machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What is a remote healthcare machine learning professional?

A Remote Healthcare Machine Learning professional is someone who applies machine learning techniques and data analysis to healthcare-related problems while working remotely. They develop algorithms and models to analyze medical data, predict patient outcomes, and improve healthcare delivery. These professionals may work on projects like disease prediction, medical imaging analysis, or personalized treatment recommendations, often as part of a distributed team. Their work helps healthcare organizations leverage data to make informed decisions and improve patient care, all while working from a location outside of a traditional office or hospital setting.

How does a remote healthcare machine learning professional collaborate with clinical teams to implement AI solutions?

Remote Healthcare Machine Learning professionals often work closely with clinicians, data engineers, and IT staff to ensure that AI models address real clinical needs and comply with healthcare regulations. Collaboration usually involves regular virtual meetings, shared project management tools, and iterative feedback cycles where clinicians provide insights on data relevance and model outputs. Effective communication is crucial to bridge the gap between technical and medical expertise, ensuring solutions are both accurate and practical for everyday clinical use.

What are the key skills and qualifications needed to thrive as a remote healthcare machine learning specialist?

To thrive as a Remote Healthcare Machine Learning Specialist, you need a strong background in data science, statistics, machine learning algorithms, and healthcare domain knowledge, typically supported by a relevant degree in computer science, engineering, or biomedical informatics. Proficiency with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and experience with electronic health record (EHR) systems or health data standards is essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders make someone stand out in this role. These skills are crucial for developing effective, compliant, and impactful healthcare solutions that improve patient outcomes and enable remote care delivery.

What is the difference between Remote Healthcare Machine Learning vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Machine LearningRemote Healthcare Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML algorithmsDegree in Statistics, Data Analysis, or related field; proficiency in data visualization
Work EnvironmentCollaborates with data scientists and engineers; focuses on developing modelsAnalyzes healthcare data; reports insights to stakeholders
Industry UsageDevelops predictive models for patient outcomes, diagnosticsInterprets healthcare data to inform decisions and improve processes

Remote Healthcare Machine Learning specialists focus on creating algorithms and models to predict health trends, while Remote Healthcare Data Analysts interpret healthcare data to support decision-making. Both roles require strong analytical skills but differ in technical focus and responsibilities.

What are popular job titles related to Remote Healthcare Machine Learning jobs in Boston, MA?

For Remote Healthcare Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Machine Learning jobs in Boston, MA look for?

The top searched job categories for Remote Healthcare Machine Learning jobs in Boston, MA are:

Remote Healthcare Machine Learning jobs near you

AI Data Engineer

Boston, MA • On-site, Remote

C the Signs
See more jobs at C the Signsexternal

$124K - $149K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Design, build, and maintain scalable data pipelines to ingest, process, and store healthcare datasets.

  • Implement data validation, cleaning, and transformation processes to ensure data quality and integrity.

  • Collaborate with data scientists and machine learning engineers to understand data requirements for model fine-tuning.

Job description

Position Summary
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.
You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement
Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements
Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits
Why Join Us?
Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.
Benefits:
  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply