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Remote Machine Learning Biology Jobs in Pawtucket, RI

PAVmed, Inc.

Quality Assurance Engineer

Foxboro, MA · Remote

... remote patient monitoring using implantable biologic sensors and connected external devices ... Take your career to the next level with ongoing learning opportunities, hands-on training, and ...

All JobsMachine Learning Biology JobsRemote Machine Learning Biology JobsRemote Machine Learning Biology Jobs in Pawtucket, RI

Remote Machine Learning Biology information

See Pawtucket, RI salary details

$36K

$87K

$134.3K

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

As of Jul 27, 2026, the average yearly pay for remote machine learning biology in Pawtucket, RI is $86,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $117,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Biology professional, you need a strong foundation in computational biology, machine learning algorithms, programming (such as Python or R), and a relevant degree in bioinformatics, computer science, or biology. Familiarity with bioinformatics tools, data analysis platforms, cloud computing resources, and frameworks like TensorFlow or PyTorch is typically required. Excellent problem-solving, collaboration, and communication skills are essential for effectively interpreting results and working with interdisciplinary teams in a remote environment. These skills and qualities are crucial for advancing biological research through data-driven insights and ensuring effective teamwork and project delivery in a virtual setting.

What is the difference between Remote Machine Learning Biology vs Remote Bioinformatics Specialist?

AspectRemote Machine Learning BiologyRemote Bioinformatics Specialist
Required CredentialsMaster's or PhD in Biology, Data Science, or related fields; experience in machine learningBachelor's or Master's in Bioinformatics, Biology, or Computer Science; programming skills
Work EnvironmentResearch labs, biotech companies, or academic institutions with remote optionsResearch institutions, healthcare, or biotech firms with remote roles
Industry UsageUsed in biotech, pharmaceuticals, and research to analyze biological data with MLApplied in genomics, proteomics, and clinical data analysis

Remote Machine Learning Biology focuses on applying machine learning techniques to biological data, often requiring advanced degrees and programming skills. Remote Bioinformatics Specialists analyze biological datasets using bioinformatics tools. Both roles are vital in biotech and research industries, but they differ in technical focus and required expertise.

How do remote machine learning biology professionals typically collaborate with experimental biologists and other team members?

Remote machine learning biology professionals often work closely with experimental biologists, bioinformaticians, and data engineers through virtual meetings, shared project management tools, and collaborative coding platforms. Regular communication is vital to ensure alignment on research objectives, data requirements, and interpretation of results. Team members typically share data, code, and experimental findings using cloud-based repositories, while frequent check-ins help address challenges and maintain project momentum. This collaborative approach allows remote professionals to contribute effectively to interdisciplinary research, despite physical distance.

What is a Remote Machine Learning Biologist?

A Remote Machine Learning Biologist is a professional who applies machine learning techniques to biological data and problems while working remotely, often from home or a location outside a traditional laboratory or office. They use computational tools and algorithms to analyze complex biological datasets, such as genomics, proteomics, or drug discovery data, to derive insights or make predictions. Their work may involve developing predictive models, automating data analysis, and collaborating with life scientists and engineers. Remote roles in this field require strong skills in both biology and computer science, as well as the ability to work independently and communicate effectively with remote teams.
What are popular job titles related to Remote Machine Learning Biology jobs in Pawtucket, RI? For Remote Machine Learning Biology jobs in Pawtucket, RI, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Biology jobs in Pawtucket, RI look for? The top searched job categories for Remote Machine Learning Biology jobs in Pawtucket, RI are:
Remote Machine Learning Biology jobs near you
Principal AI Engineer

Principal AI Engineer

eClinical Solutions

Mansfield, MA • On-site, Remote

Full-time

Posted 17 hours 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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