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Remote Medical Machine Learning Jobs in Manchester, NH

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Senior Network Operations Manager

Andover, MA · Remote

$86K - $115K/yr

... LI-Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

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Remote Medical Machine Learning information

See Manchester, NH salary details

$36.3K

$164K

$335.5K

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

As of Jun 27, 2026, the average yearly pay for remote medical machine learning in Manchester, NH is $164,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $267,300.00 per year, depending on experience, location, and employer.
What are popular job titles related to Remote Medical Machine Learning jobs in Manchester, NH? For Remote Medical Machine Learning jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Remote Medical Machine Learning jobs in Manchester, NH look for? The top searched job categories for Remote Medical Machine Learning jobs in Manchester, NH are:
Infographic showing various Remote Medical Machine Learning job openings in Manchester, NH as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $164,018 per year, or $78.9 per hour.
Online Adjunct Faculty - Graduate Computer Science

Online Adjunct Faculty - Graduate Computer Science

Southern New Hampshire University

Manchester, NH • On-site, Remote

$2.5K/wk

Part-time

Retirement

Posted 14 days ago


Southern New Hampshire University rating

8.9

Company rating: 8.9 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

28th of 541 rated colleges and universities


Job description

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us - and helped us grow a team that now serves over 180,000 learners worldwide.
Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.
Make an impact - from near or far
We currently have remote adjunct opportunities available in all US States, with the exception of California.
The opportunity
Southern New Hampshire University is looking for online adjunct faculty within our Graduate Computer Science program for Global Campus. You will engage students in an asynchronous and inclusive learning environment by providing guidance and resources in a pre-developed online course. You will support students by providing instruction, feedback, and experiential and application-based learning that helps our students achieve their learning and career goals. You will report to the faculty dean team. This is a remote position.
What you'll do:
  • Prioritize Student Engagement - Work with students by responding within set timeframes and reaching out proactively to students needing additional support. Recognize student needs holistically and connect them with resources. Encourage participation, collaboration, and strong faculty-student relationships to enhance learning and build skills.
  • Share Expertise and Resources - Stay current in your field of expertise, share your experience, and recommend relevant supplementary materials to enhance student understanding of course content. Find accessible ways to explain complex topics.
  • Offer Feedback & Assessment - Evaluate student work and provide individualized, constructive feedback within set timeframes to promote growth and mastery of course outcomes.
  • Facilitate Discussions - Encourage student interaction through active participation in online discussions while fostering an inclusive, engaging, and respectful environment that promotes open dialogue and diverse perspectives.

Courses:
  • CS-540: Data Literacy and Visualization
  • CS-550: Networking and Cybersecurity
  • CS-560: UIUX Design and Implementation
  • CS-570: Machine Learning
  • CS-580: Deep Learning
  • CS-590: Database Design and Development
  • CS-620: Natural Language Processing
  • CS-630: Software Testing and Quality Assurance
  • CS-640: Applied AI and Machine Learning

What we're looking for:
  • Master's degree in Computer Science, Computer Engineering, AI, Information Technology, or a related field
  • 4+ years of professional experience in computer science, software engineering, software development, Full Stack Development, AI Engineering, IT, Network Engineering, Systems Engineering, UI/UX, etc.
  • Experience with Tableau, Power BI, Python
  • Experience with Mongo, PostgreSQL, Neo4J, SQL, Database modeling tools
  • Experience with Wireshark, Linux, Network simulators
  • Experience with Python, Scikit-learn, TensorFlow, Pandas, NumPy
  • Experience with Figma, HTML5, CSS3, JavaScript

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.
Compensation
The standard compensation for courses is $2,200 per 8-week undergraduate course and $2,500 per 10-week graduate course. Actual pay is determined at the time of course assignment based on discipline.
Exceptional benefits (because you're exceptional)
You're the whole package. Your benefits should be, too. As an employee at SNHU, you'll get:
  • Employer-funded retirement
  • Free tuition program
  • Professional development opportunities

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