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Biomedical Engineering Faculty information

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$34.6K

$80.1K

$118.2K

How much do biomedical engineering faculty jobs pay per year?

As of Aug 23, 2026, the average yearly pay for biomedical engineering faculty in Georgia is $80,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $97,900.00 per year, depending on experience, location, and employer.

What does a biomedical engineering faculty do?

Biomedical Engineering Faculty are educators and researchers who teach courses related to biomedical engineering at colleges or universities. They design curriculum, mentor students, and conduct research in areas such as medical devices, tissue engineering, or biomechanics. Their work often bridges engineering and healthcare, aiming to develop innovative solutions for medical challenges. In addition to teaching and research, they may also publish scholarly articles, secure research funding, and participate in academic committees.

What are the key skills and qualifications needed to thrive as a biomedical engineering faculty?

To thrive as a Biomedical Engineering Faculty member, you generally need a Ph.D. in biomedical engineering or a related field, strong research experience, and a track record of academic publications. Proficiency with lab instrumentation, statistical analysis software, and learning management systems is commonly required, along with familiarity with grant writing and funding applications. Outstanding communication, mentorship, and collaboration skills help faculty engage students and contribute to multidisciplinary research teams. These capabilities are crucial for advancing biomedical engineering education, securing research funding, and fostering innovation within academic environments.

What types of collaborative projects can a biomedical engineering faculty expect to engage in with other departments or industry partners?

Biomedical Engineering Faculty often work on multidisciplinary projects, collaborating with departments such as medicine, mechanical engineering, or computer science, as well as with hospitals and biotech companies. These collaborations can range from joint research initiatives and grant proposals to co-developing new medical devices or clinical trials. Such partnerships not only enhance research impact but also provide opportunities for faculty to stay at the forefront of innovation and offer students exposure to real-world applications. Engaging in these projects typically involves regular meetings, shared resources, and cross-disciplinary problem-solving.

What is the difference between Biomedical Engineering Faculty vs Biomedical Engineer?

AspectBiomedical Engineering Faculty
CredentialsTypically requires a Ph.D. in biomedical engineering or related field
Work EnvironmentAcademic institutions, universities, research labs
Employer & IndustryHigher education, research institutions
Primary FocusTeaching, research, publishing, academic mentorship

Biomedical Engineering Faculty primarily focus on teaching students and conducting research within academic settings, often holding advanced degrees. In contrast, Biomedical Engineers work in industry or healthcare environments, applying engineering principles to develop medical devices, diagnostics, or treatments. While both roles require a strong background in biomedical engineering, faculty roles emphasize education and research, whereas biomedical engineers focus on practical application and product development.

What are popular job titles related to Biomedical Engineering Faculty jobs in Georgia?

For Biomedical Engineering Faculty jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Biomedical Engineering Faculty jobs in Georgia look for?

The top searched job categories for Biomedical Engineering Faculty jobs in Georgia are:

Biomedical Engineering Faculty jobs near you
Infographic showing various Biomedical Engineering Faculty job openings in Georgia as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $80,053 per year, or $38.5 per hour.

Adjunct Faculty - Biomedical Data Science & Statistics (MSBT Program)

Morehouse School of Medicine

Atlanta, GA • On-site

Full-time

Re-posted 23 days ago

Job description

Posting Details
Position Details
About MSM
Morehouse School of Medicine (MSM) is a place of distinction, serving as the nation's leading academic medical center for vulnerable populations. It's also a place for passionate individuals looking to join a dedicated community working today to help prepare tomorrow's leaders.
We exist to:
• Improve the health and well-being of individuals and communities;
• Increase the diversity of the health professional and scientific workforce;
• Address primary health care through programs in education, research and service;
With emphasis on people of color and the under-served urban and rural populations in Georgia, the nation and the world.
At Morehouse School of Medicine, we're leading the creation and advancement of health equity. You will find a fulfilling career at MSM!
Posting Number
ACAD538
Job Title
Adjunct Faculty - Biomedical Data Science & Statistics (MSBT Program)
Position Title
Adjunct Faculty - Biomedical Data Science & Statistics (MSBT Program)
Position Type
Faculty
Number of vacancies
1
Salary
Commensurate with experience
Department
Micro/Biochem/Immun (MBI)
Position Summary
Morehouse School of Medicine is committed to improving health equity and advancing health justice through excellence in education, research, clinical care, and community engagement. The MSBT Program prepares future biotechnology professionals, scientists, and innovators through interdisciplinary, translational, and workforce-focused graduate education.
The Master of Science in Biotechnology - Medical Cannabis Therapeutics (MSBT-MCT) Program at Morehouse School of Medicine invites applications for an Adjunct Faculty position to teach Biomedical Data Science & Statistics (3 credit hours), a core graduate-level course.
This course provides students with a comprehensive introduction to biomedical data science and the practical application of computational, statistical, and data-driven approaches used across biotechnology, bioinformatics, biomedical research, and health informatics. Students gain exposure to modern programming languages, database systems, cloud computing, data visualization, artificial intelligence (AI), machine learning (ML), and data mining techniques relevant to contemporary biotechnology and biomedical innovation.
The successful candidate will demonstrate expertise in biomedical data science, biostatistics, bioinformatics, computational biology, data analytics, AI/ML, or related disciplines, along with a commitment to graduate education and workforce preparation in emerging biomedical technologies.
Course Description
Biomedical Data Science & Statistics (3 Credit Hours) - Core
This course provides a comprehensive overview of key concepts in biomedical data science and the application of common data science techniques used in biotechnology, bioinformatics, and health informatics.
Topics include:
  • Foundations of biomedical and biotechnology data science
  • Applications of data science in biotechnology and healthcare
  • Computer programming languages used in data science, including:
    • R
    • Python
    • SQL
    • Java
    • JSON
    • C++
    • HTML
  • Database management and cloud computing
  • SQL querying and analysis of open-source datasets
  • Data visualization using Python
  • Introduction to data science toolkits and computational workflows
  • Introduction to artificial intelligence and machine learning
  • Data mining and predictive analytics
  • Building and maintaining a professional data science portfolio using GitHub

The course prepares students to understand and apply computational tools and analytical frameworks increasingly essential to biotechnology, biomedical research, precision medicine, and digital health.
Essential Duties and Responsibilities
The Adjunct Faculty member will:
  • Develop and deliver graduate-level instruction for Biomedical Data Science & Statistics
  • Prepare and maintain course materials, including lectures, demonstrations, assignments, coding exercises, and assessments
  • Teach foundational and applied concepts in biomedical data science and biostatistics
  • Introduce students to programming languages and computational tools relevant to biotechnology and biomedical research
  • Facilitate instruction involving:
    • Statistical analysis and interpretation
    • Database design and management
    • SQL querying and data retrieval
    • Cloud-based computing environments
    • Python-based data visualization and analytics
    • AI and machine learning fundamentals
    • Data mining and predictive modeling
    • GitHub and reproducible research practices
  • Integrate real-world datasets and case studies from biotechnology, healthcare, and biomedical research
  • Encourage critical thinking, problem solving, and interdisciplinary collaboration
  • Evaluate student performance and provide timely, constructive feedback
  • Maintain accurate academic records and submit grades according to MSM policies and academic deadlines
  • Collaborate with MSBT leadership to ensure curricular alignment and instructional quality
  • Foster an inclusive, engaging, and supportive learning environment consistent with MSM's mission and educational values

Appointment Terms
This is a part-time Adjunct Faculty appointment for instruction of a 3-credit-hour core course within the MSBT-MCT Program. Teaching modality, appointment duration, and compensation will be determined according to Morehouse School of Medicine policies and programmatic needs.
Minimum Qualifications
Minimum Qualifications
  • Master's degree, PhD, MD, or equivalent advanced degree in Data Science, Biostatistics, Bioinformatics, Computational Biology, Computer Science, Biomedical Informatics, Biotechnology, Health Informatics, or a related field
  • Demonstrated expertise in biomedical data science and computational analysis
  • Experience with programming languages and data science platforms relevant to the course
  • Strong communication and instructional skills

Preferred Qualifications
Preferred Qualifications
  • Prior graduate-level teaching or mentoring experience
  • Professional or research experience involving:
    • Biomedical data analytics
    • Bioinformatics
    • Biostatistics
    • Artificial intelligence and machine learning
    • Biotechnology or healthcare informatics
  • Demonstrated proficiency in:
    • Python
    • R
    • SQL
    • Data visualization platforms
    • GitHub and version control systems
    • Cloud computing or database management systems

  • Experience integrating real-world biomedical datasets into teaching
  • Experience with online, hybrid, or technology-enhanced instruction strongly preferred
  • Familiarity with AI/ML applications in biotechnology, precision medicine, and healthcare analytics preferred

Closing Date
09/29/2026
Open Until Filled
No
Special Instructions to Applicants
Employment in this role may be contingent upon extramural funding and successful performance and may be terminated or reduced in percentage of appointment if such funding is not secured or ceases to be available.
Quick Link
https://careers.msm.edu/postings/24347
EEO Statement Summary
Morehouse School of Medicine is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Georgia State laws, regulations, and executive orders regarding non-discrimination and affirmative action. Morehouse School of Medicine does not discriminate on the basis of race, age, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, or gender identity or expression.
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