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Remote Biomedical Machine Learning Jobs in Massachusetts

Telus Digital

$185K - $224K/yr

Boston, MA, Columbus, OH, Charlottesville, VA, or Durham, NC, OR in a Work From Anywhere (Remote ... Drawing on your deep knowledge of data ecosystems, machine learning, and AI technologies, you'll ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

Beacon Biosignals is seeking a Machine Learning engineer! At Beacon, we've found that cultural and ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

Beacon Biosignals is seeking a Machine Learning engineer! At Beacon, we've found that cultural and ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Beacon Biosignals

Senior Algorithm Engineer

Boston, MA · On-site +1

$113K - $155K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's work practices ensure a first-class remote work experience, but we also have in-person ...

Motional

Director, Prediction and ML Planning

Boston, MA · On-site +1

$288K - $396K/yr

Oversee and unify the machine learning-based Prediction and Motion Planning teams. Establish a ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

The Phia Group

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

Support deployment and operationalization of machine learning models by integrating pipelines with ML workflows (e.g., batch/real-time scoring) * Continually improve ongoing reporting and analytics ...

Draper

Senior Machine Perception Researcher

Cambridge, MA · On-site +1

$82K - $220K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Draper's Perception and Embedded Machine Learning Group seeks an engineer to help develop ...

Adidev Technologies Inc

ML/AI Engineers

Boston, MA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

3Play Media

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

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

OneStudyTeam

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Redhat

Software Engineer

Boston, MA · On-site +1

$178K - $195K/yr

Create open-source software in the machine learning and data science pipelines domain ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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Remote Biomedical Machine Learning information

What are some unique challenges faced when working remotely as a Biomedical Machine Learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Machine Learning Specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What are remote biomedical machine learning jobs?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

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

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Massachusetts? For Remote Biomedical Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Machine Learning jobs in Massachusetts look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Biomedical Machine Learning jobs? Cities in Massachusetts with the most Remote Biomedical Machine Learning job openings:
Remote Biomedical Machine Learning jobs near you
Senior Manager, Solutions Architecture - Data & AI

Senior Manager, Solutions Architecture - Data & AI

Telus Digital

On-site, Remote

$185K - $224K/yr

Full-time

Re-posted 16 days ago

TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

92nd of 210 rated it services

Job description

Who We Are
Welcome to TELUS Digital - where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are - all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location & Flexibility
This role will be in a Work From Near (Hybrid) capacity based in one of the following offices: Boston, MA, Columbus, OH, Charlottesville, VA, or Durham, NC, OR in a Work From Anywhere (Remote) capacity with travel to clients and TELUS Digital Solutions offices expected.
The Opportunity
As a Senior Manager, Solutions Architecture with a focus on Data & AI, you'll play a pivotal role in bridging the gap between pre-sales strategy and project delivery. Drawing on your deep knowledge of data ecosystems, machine learning, and AI technologies, you'll help shape, architect, and launch impactful solutions that align with client and executive partner goals. Whether leading architectural discovery for new data and AI initiatives or guiding in-flight projects, you'll ensure solutions are both technically sound and aligned with business objectives and operational needs.
You'll engage with prospective clients to explore how our capabilities can meet their unique data and AI challenges, lead architecture efforts for new engagements, and collaborate closely with delivery teams to bring client visions to life. You'll also provide critical estimates around team composition, build scope, and resource planning-ensuring data and AI projects are realistically scoped and staffed for success.
Between engagements, you'll lend your expertise across teams as a flexible problem-solver, while deepening your knowledge in areas like cloud data platforms (e.g., Databricks, Snowflake, Azure, AWS, GCP) or advanced AI/ML methodologies.
Responsibilities
  • Presale: Lead scoping, technical design, and work planning during the presale process, articulating our data and AI capabilities to prospective clients.
  • Delivery: Play the lead role in technical architecture and discovery projects, using consulting methods to refine the data product and technical architecture of client projects. This includes designing scalable data pipelines, machine learning model architectures, and MLOps frameworks.
  • Subject Matter Expertise: Own a "technology vertical" within Data & AI, encompassing solution design, platform selection (e.g., Databricks, Snowflake, AWS Bedrock), implementation support, and thought leadership. This may include areas such as large-scale data warehousing, real-time analytics, machine learning operations (MLOps), or agentic AI systems.
  • Roving Catalyst: Enhance existing project teams with architectural account-level guidance or specific subject matter expertise in data engineering, machine learning, or artificial intelligence.

Qualifications
  • Multi-platform familiarity, with expertise in one or more of the following:
    • Cloud Data Platforms: Deep experience with Databricks, Snowflake, or other major cloud data warehousing/lakehouse solutions.
    • Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI).
    • Backend Cloud Platforms: Strong experience with major cloud providers (AWS, Azure, GCP) for deploying and managing data and AI solutions.
  • Data & AI Industry Expertise: Specialized knowledge of the data ecosystem, including data ingestion, ETL/ELT processes, data warehousing, data lakes, and real-time analytics.
  • Machine Learning & AI Acumen: Candidates should be aware of current trends in machine learning (supervised, unsupervised, deep learning), MLOps, and advanced AI concepts like Agentic AI or Large Language Models (LLMs).
  • Technical Proficiency:
    • Deep understanding of MLOps principles and tools for continuous integration/continuous delivery (CI/CD) of machine learning models.
    • Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable deployments.
  • Experience with software estimation, work planning, and building project plans within time/cost constraints.
  • An eye for details and an ability to navigate ambiguity.
  • Experience delivering software or data solutions in an agency/client-service environment.
  • Ability to clearly break down complex data and AI concepts to both technical and non-technical individuals, including executive stakeholders.
  • Experience in having commercial conversations involving budgets and fees related to data and AI initiatives.
  • Passion to apply modern processes that transform client organizations (e.g., continuous delivery, rapid iteration, and agile-inspired methodologies for data and ML).
  • Excellent verbal and written communication skills.
  • Ability to use repeatable frameworks and best practices to incorporate new data technologies or AI concepts.
  • Appreciation for the wider client enterprise, beyond a single data project or AI initiative, and a desire to expand an account to service a client holistically.
  • Equally comfortable working in pre-sale and post-sale environments.

Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
For more information on how we use your information, see our Privacy Policy.

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