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Remote Bioinformatics Machine Learning Jobs in Boston, MA

AI Solutions Architect (Remote)

Boston, MA · On-site +1

$68.50 - $90.25/hr

Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science ... machine learning, and predictive analytics * Experience designing AI solution architectures ...

New

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 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 ...

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 ...

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 ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$110K - $132K/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 ...

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 ...

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 ...

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 ...

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Remote Bioinformatics Machine Learning information

See Boston, MA salary details

$64.6K

$102.6K

$162.4K

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

As of Jul 13, 2026, the average yearly pay for remote bioinformatics machine learning in Boston, MA is $102,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $140,700.00 per year, depending on experience, location, and employer.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

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

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Boston, MA? The most popular types of Bioinformatics Machine Learning jobs in Boston, MA are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Boston, MA? For Remote Bioinformatics Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Boston, MA look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Bioinformatics Machine Learning jobs? Cities near Boston, MA with the most Remote Bioinformatics Machine Learning job openings:
AI Solutions Architect (Remote)

AI Solutions Architect (Remote)

IQVIA

Boston, MA • On-site, Remote

$68.50 - $90.25/hr

Full-time

Posted 3 days ago

New


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

55th of 210 rated it services


Job description

We are seeking an experienced AI Solutions Architect to lead the design and delivery of next-generation AI solutions for pharmaceutical and life sciences organizations. This individual will help clients transform scientific, clinical, and operational data into explainable, trustworthy, and scalable AI solutions that accelerate research and development, improve decision-making, and drive innovation across the drug development lifecycle.

Role Overview

As an AI Solutions Architect, you will combine yourexpertisein foundation models, knowledge graphs, agentic AI, and data architecture with strong consulting and client leadership skills. You will work closely with scientific, business, and technical stakeholders to design and deliver solutions thatleveragenext-generation AI capabilities and deliver measurable business value.

Key Responsibilities

AI Solution Architecture

  • Lead the design and delivery of AI solutions across pharmaceutical research and development, translating business and scientific challenges into scalable solutions with measurable outcomes

  • Recommendappropriate architecturesthat align businessobjectives, data assets, and technology capabilities

Foundation Models and Agentic AI

  • Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks

  • Define approaches for model selection, orchestration, grounding, prompt design, evaluation, validation, and production deployment

Knowledge Graphs and Semantic Systems

  • Architect biomedical knowledgegraphs, ontologies, and semantic data models that support scientific discovery, reasoning, and intelligent information retrieval

  • Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance

Data Strategy and Engineering

  • Lead data integration, harmonization, and governance efforts across scientific, clinical, and operational data sources

  • Establish data foundations that support scalable, trustworthy, and AI-ready solutions

Client Leadership and Consulting

  • Serve as a trusted advisor to business, scientific, and technical stakeholders, leadingworkshopsand solution design sessions

  • Communicate complex technical concepts to both executive and technical audiences, guiding clients from strategy through implementation

Innovation and Capabilities Development

  • Stay current on advances in AI, foundation models, and knowledge graphs, bringing emerging capabilities into solutions

  • Contribute to reusable methodologies, accelerators, and leading practices that scale AI delivery across engagements

What We're Looking For

  • Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, ora relatedfield.

  • Significant experiencedelivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizations

  • Demonstratedexpertisein designing and deploying solutionsleveragingfoundation models, retrieval-augmented generation (RAG), agentic AI architectures, knowledge graphs, semantic technologies, vector databases, semantic search, machine learning, and predictive analytics

  • Experience designing AI solution architectures supported by strong data architecture principles.

  • Strong programming and solution development experience, particularly in Python and modern AI frameworks.

  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.

  • Experience designing and deploying AI solutions in regulated environments.

  • Ability to translatecomplex business and scientific questions into structured AI solution designs and implementation plans.

  • Understanding of pharmaceutical R&D processes, including drug discovery, translational science, clinical development, safety, and regulatory approval.

  • Excellent communication, presentation, and consulting skills.

  • Ability to engage effectively with both executive stakeholdersand highlytechnical teams.

Preferred Experience

  • Experience designing and implementing biomedical knowledge graph solutions, including the integration of knowledge graphs with foundation models and agentic AI to support intelligent applications and scientific discovery.

  • Familiarity with biomedical ontologies, standards, and scientific data management practices, including FAIR data principles and semantic interoperability.

  • ExperienceestablishingAI evaluation, validation, and governance frameworks, including benchmarking, human-in-the-loop review, and other quality assessment methodologies.

  • Understanding ofthe end-to-end pharmaceutical value chain, including R&D, regulatory affairs, market access, medical affairs, commercial operations, and post-marketing functions.

  • Experience leading client engagements and mentoring multidisciplinary technical teams.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $125,800.00 - $350,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US