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Remote Biomedical Machine Learning Jobs in Chepachet, RI

eClinical Solutions

AI Engineer

Mansfield, MA · On-site +1

Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

eClinical Solutions

AI Engineer

Mansfield, MA · On-site +1

Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

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All JobsBiomedical Machine Learning JobsRemote Biomedical Machine Learning JobsRemote Biomedical Machine Learning Jobs in Chepachet, RI

Remote Biomedical Machine Learning information

See Chepachet, RI salary details

$17

$32

$44

How much do remote biomedical machine learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote biomedical machine learning in Chepachet, RI is $32.26, according to ZipRecruiter salary data. Most workers in this role earn between $27.45 and $36.44 per hour, depending on experience, location, and employer.

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.

Remote Biomedical Machine Learning jobs near you
Principal AI Engineer

Principal AI Engineer

eClinical Solutions

Mansfield, MA • On-site, Remote

Full-time

Re-posted 13 days ago

Job description

eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud, helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle-accelerating innovation that ultimately improves patient outcomes.
Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies. If you're excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it.
You will make an impact
The Principal AI Engineer is primarily responsible for the design, implementation, and support of AI-powered and agentic capabilities embedded in the company's elluminate software platform. These capabilities facilitate our clients' work on clinical trials. The Principal AI Engineer will need strong analytical and technical skills to design and build production-grade solutions using Large Language Models (LLMs), agentic frameworks, and modern Deep Learning (DL) and Machine Learning (ML) techniques in close collaboration with the company's business clients. In addition, the candidate must serve as a Subject Matter Expert on the application of LLMs, agentic AI, and DL/ML to healthcare structured and unstructured data, both internally and with the company's partners and clients.
Your day to day:
  • Actively works with product and engineering to design and build breakthrough AI-powered and agentic capabilities for our clients using LLMs, agentic workflows, and modern DL/ML techniques
  • Design, prototype, develop, and test LLM-powered applications, agentic workflows, and predictive models using Python and modern AI frameworks to power critical product capabilities
  • Work with both structured and unstructured clinical trial data, including patient reports, trial documentation, and free text notes
  • Ideate, design, prototype, and develop solutions such as multi-agent workflows, RAG-based applications, document intelligence and summarization pipelines, and intelligent process automation
  • Design, prototype, and develop solutions using modern AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, PyTorch, Hugging Face Transformers, and scikit-learn
  • Champion AI-driven development practices across the team - using AI coding assistants and agentic dev tools to accelerate prototyping, code generation, testing, and review
  • Build and maintain LLM, agentic, and ML pipelines, including prompt engineering, orchestration logic, and evaluation harnesses
  • Apply relevant evaluation frameworks, guardrails, and statistical measures for performance, quality, and error analysis of AI systems
  • Drive the entire workflow of multiple AI engineering projects
  • Enhance the experience and efficiency of our elluminate software platform users
  • Work with our Engineering team to integrate AI capabilities into our elluminate software platform
  • Work with the MLOps/AIOps team to deploy LLM, agentic, and ML systems in production and to track performance, cost, and quality
  • Consult with and assist our software development and biometrics teams to consume the results of these AI systems
  • Ensure data quality throughout all stages of acquisition and processing
  • Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning
  • Keep up to date with the latest research and tooling in LLMs, agentic AI, and ML
  • Educate other team members in modern AI techniques and best practices
  • Publish and present work and contribute to company's intellectual property
  • Other duties as assigned

Qualifications:
  • Bachelor's Degree in Computer Science, Engineering, Math, Physics, or a related field; Master's or Doctorate degree preferred
  • Accomplished engineer with deep technical credibility and hands-on implementation skills building LLM-powered applications, agentic workflows, and production AI systems; familiarity with modern Deep Learning and Machine Learning techniques (transformers, RAG, fine-tuning, evaluation)
  • Extensive experience shipping production software in a healthcare or life-sciences setting; comfortable working alongside clinicians and domain experts
  • In-depth knowledge and experience working with healthcare and/or clinical trials data
  • Expert knowledge of Python and modern AI frameworks (LangChain, LangGraph, LlamaIndex, or equivalents); proficiency with API development, system integration, and at least one major cloud platform (AWS, Azure, or GCP)

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!
eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/
eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!
We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.
Pay Range
US Pay Ranges
$190,000-$210,000 USD

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