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Part Time Biomedical Engineering Masters Jobs in Houston, TX

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus. * Master's, MBA, PhD ...

YO AI Labs

AI Consulting Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

YO AI Labs

AI Finance Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing

Houston Ballet

Part-Time Archive Assistant

Houston, TX · On-site

Preferred qualifications: • ALA-accredited Masters in Library Science or combination of relevant ... Work in all departments matches the caliber of the programming on stage. * ENGAGED: We are proud to ...

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All JobsBiomedical Engineering Masters JobsPart Time Biomedical Engineering Masters JobsPart Time Biomedical Engineering Masters Jobs in Houston, TX

Part Time Biomedical Engineering Masters information

See Houston, TX salary details

$39.2K

$90.5K

$133.7K

How much do part time biomedical engineering masters jobs pay per year?

As of Sep 2, 2026, the average yearly pay for part time biomedical engineering masters in Houston, TX is $90,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,800.00 per year, depending on experience, location, and employer.

What is a part time biomedical engineering masters program?

A Part Time Biomedical Engineering Masters program is a graduate-level degree designed for students who wish to study biomedical engineering while maintaining other commitments, such as a job. These programs typically offer flexible schedules, including evening or weekend classes, and may take longer to complete than full-time programs. The curriculum covers topics like medical device design, biomaterials, and biomedical imaging, preparing students for advanced roles in healthcare, research, or industry. Part-time study allows participants to gain practical experience while advancing their education. Admission requirements often include a bachelor's degree in engineering or a related field.

What are common challenges faced by students pursuing a part time biomedical engineering masters while working, and how can these be managed?

Balancing coursework with professional and personal responsibilities is a common challenge for part-time Biomedical Engineering Masters students. Time management is crucial, as projects and exams often coincide with work deadlines. Many students find success by setting a regular study schedule, communicating clearly with both employers and professors about their commitments, and leveraging online resources or flexible course offerings. Universities often provide support services, such as academic advisors and peer study groups, to help students navigate these challenges and stay on track for graduation.

What are the key skills and qualifications needed to thrive as a part time biomedical engineering masters student, and why are they important?

To excel as a part-time Biomedical Engineering Master's student, you need a solid background in engineering, mathematics, and life sciences, typically supported by a related bachelor's degree. Familiarity with tools like MATLAB, CAD software, and data analysis platforms, as well as knowledge of regulatory standards, is often required. Excellent time management, communication, and problem-solving abilities are crucial to balance work, study, and research responsibilities. These skills and qualifications ensure you can effectively apply engineering principles to medical challenges while managing the demands of part-time advanced study.

What is the difference between Part Time Biomedical Engineering Masters vs Biomedical Equipment Technician?

AspectPart Time Biomedical Engineering MastersBiomedical Equipment Technician
Required CredentialsTypically requires a bachelor's degree; pursuing a master'sAssociate's degree or certification in biomedical technology
Work EnvironmentClassroom, lab, research settings, some internshipsHospitals, clinics, service centers, repair shops
Employer & Industry UsageUniversities, research institutions, some healthcare companiesHospitals, medical device companies, service providers

In summary, a Part Time Biomedical Engineering Masters focuses on advanced education and research, often involving coursework and projects, while a Biomedical Equipment Technician is more hands-on, maintaining and repairing medical devices in healthcare settings. Both roles are essential in the biomedical industry but serve different career paths and skill sets.

Is there a high demand for part time biomedical engineering masters?

Part-time biomedical engineering master's programs are increasingly in demand as professionals seek to advance their careers while working. The healthcare and medical device industries continue to grow, creating a need for skilled engineers with advanced education, especially those with knowledge of biomedical tools, regulations, and research methods.

What jobs can you get with a master's in biomedical engineering?

A master's in biomedical engineering prepares individuals for roles such as biomedical engineer, medical device designer, clinical engineer, or research scientist. These positions often involve designing medical equipment, developing new technologies, or improving healthcare systems, and may require knowledge of CAD software, regulatory standards, and clinical environments.
Part Time Biomedical Engineering Masters jobs near you
Infographic showing various Part Time Biomedical Engineering Masters job openings in Houston, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $90,538 per year, or $43.5 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Houston, TX • Remote

$100 - $200/hr

Part-time

Posted 22 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.