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Biomedical Machine Learning Jobs in Atlanta, GA (NOW HIRING)

Abbott

R&D Product Development Engineer

Atlanta, GA

... biomedical engineering, automation, applied physics, or related technical backgrounds. The role ... Experience applying machine learning, AI, or advanced data-analysis methods to large engineering ...

Abbott

R&D Product Development Engineer

Atlanta, GA · On-site

... biomedical engineering, automation, applied physics, or related technical backgrounds. The role ... Experience applying machine learning, AI, or advanced data-analysis methods to large engineering ...

Booz Allen Hamilton

AL/ML Technical Lead

Atlanta, GA · On-site

You will lead the design and implementation of scalable machine learning and generative AI ... Experience working in healthcare, biomedical, or government public health AI / ML environments

Morehouse School of Medicine

Postdoctoral Fellow

Atlanta, GA · On-site

$47K - $63K/yr

... related biomedical sciences (completed within last 5 years or expected before start-date) • ... Perl); machine learning/AI applications. • Experience with CRISPR techniques; microbiome ...

Emory University

Pediatric Research Innovator

Atlanta, GA · On-site

$17.50 - $24/hr

... areas of biomedical science. In partnership with Children's Healthcare of Atlanta, faculty ... Areas of interest include artificial intelligence and machine learning, imaging, data science, and ...

Emory University

Pediatric Research Innovator

Atlanta, GA

$17.50 - $24/hr

... areas of biomedical science. In partnership with Children's Healthcare of Atlanta, faculty ... Areas of interest include artificial intelligence and machine learning, imaging, data science, and ...

Booz Allen Hamilton, Inc.

AL/ML Engineer, Lead

Atlanta, GA · On-site

$98K - $129K/yr

As an experienced engineer, you know that machine learning (ML) is critical to understanding and ... Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government ...

Booz Allen Hamilton

AL/ML Engineer, Lead

Atlanta, GA · On-site

$98K - $129K/yr

As an experienced engineer, you know that machine learning (ML) is critical to understanding and ... Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government ...

Booz Allen Hamilton, Inc.

AL/ML Engineer, Lead

Atlanta, GA · On-site

$98K - $129K/yr

As an experienced engineer, you know that machine learning (ML) is critical to understanding and ... Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government ...

Booz Allen Hamilton

Lead AL/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

As an experience d engineer, you know that machine learning ( ML ) is critical to understanding and ... Experience supporting healthcare, biomedical, or public health AI / ML initiatives and government ...

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All JobsBiomedical Machine Learning JobsBiomedical Machine Learning Jobs in Atlanta, GA

Biomedical Machine Learning information

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How much do biomedical machine learning jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for biomedical machine learning in Atlanta, GA is $27.43, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $30.96 per hour, depending on experience, location, and employer.

What is a Biomedical Machine Learning job?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a typical day look like for someone in a Biomedical Machine Learning role?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in the Biomedical Machine Learning position, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

What are the most commonly searched types of Biomedical Machine Learning jobs in Atlanta, GA? The most popular types of Biomedical Machine Learning jobs in Atlanta, GA are:
What are popular job titles related to Biomedical Machine Learning jobs in Atlanta, GA? For Biomedical Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Biomedical Machine Learning jobs in Atlanta, GA look for? The top searched job categories for Biomedical Machine Learning jobs in Atlanta, GA are:
Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in Atlanta, GA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $57,058 per year, or $27.4 per hour.
Adjunct Faculty - Biomedical Data Science & Statistics (MSBT Program)

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

Morehouse School of Medicine

Atlanta, GA • On-site

Full-time

Posted 6 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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