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Biomedical Data Scientist Jobs in Decatur, GA (NOW HIRING)

Goldbelt, Inc.

Bioinformatician

Atlanta, GA

... to perform analyses of biomedical data. * Experience with interpretation, reporting, and ... Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public ...

Goldbelt, Inc.

Bioinformatician

Atlanta, GA · On-site

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public ... to perform analyses of biomedical data. * Experience with interpretation, reporting, and ...

Goldbelt Apex

Bioinformatician

Atlanta, GA · On-site

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public ... to perform analyses of biomedical data. * Experience with interpretation, reporting, and ...

Goldbelt Apex

Bioinformatician

Atlanta, GA

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public ... to perform analyses of biomedical data. * Experience with interpretation, reporting, and ...

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$36.6K

$119.8K

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How much do biomedical data scientist jobs pay per year?

As of Jul 7, 2026, the average yearly pay for biomedical data scientist in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

What Does a Biomedical Data Scientist Do?

The job of a biomedical data scientist is to research and analyze biological data for use in medicine. As a biomedical data scientist, you perform analysis using industry-standard methodologies. Your responsibilities are to record information in a database. Other duties include using this data to produce a new product or peer-reviewed paper. As a biomedical data scientist, you may also develop new research methods or tools. It is your job to create coherent reports based on your research and analysis of raw data. This type of research is used to help develop advances in medicine.

What are some typical challenges faced by Biomedical Data Scientists when working with healthcare data?

Biomedical Data Scientists often encounter challenges related to the complexity and variability of healthcare data, such as dealing with missing values, inconsistent formats, and integrating data from multiple sources like electronic health records, genomics, and imaging. Ensuring data privacy and compliance with regulations like HIPAA is also a critical consideration. Collaborating closely with clinicians and researchers to translate data findings into actionable insights can require strong communication skills and a good understanding of medical terminology. Overcoming these challenges is key to developing robust, impactful models that support healthcare advancements.

How much do biomedical data scientists make in the US?

Biomedical data scientists in the US typically earn a median annual salary of around $90,000 to $110,000, with experienced professionals and those working in research or healthcare settings earning higher. Salaries can vary based on education, skills in programming and statistical analysis, and geographic location.

What are the key skills and qualifications needed to thrive as a Biomedical Data Scientist, and why are they important?

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, biology, and computer science, often supported by an advanced degree in a related field. Proficiency with programming languages like Python or R, data analysis platforms, and experience using bioinformatics tools and machine learning frameworks are typically required. Exceptional problem-solving, collaboration, and communication skills help translate complex data into actionable biomedical insights. These skills ensure accurate analysis and interpretation of biomedical data, driving impactful research and innovation in healthcare.

What are biomedical data scientists?

Biomedical data scientists are professionals who apply data science techniques to biomedical research and healthcare. They analyze large sets of biological and medical data to uncover patterns, make predictions, and support scientific discoveries or medical decisions. Their work involves using computational tools, statistical methods, and machine learning to interpret complex datasets, such as genomics, clinical trials, or electronic health records. Biomedical data scientists often collaborate with biologists, clinicians, and other researchers to improve healthcare outcomes and advance medical knowledge.

What is biomedical data science?

Biomedical data science is a field that involves analyzing and interpreting large biological and medical datasets to support research and healthcare. Biomedical data scientists use skills in statistics, programming, and domain knowledge to develop models, visualize data, and extract insights from complex information such as genomic, clinical, and imaging data.

Can a biomedical engineer become a data scientist?

A biomedical engineer can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or certifications. Their background in biology and engineering can be advantageous when working with healthcare or biomedical data, but they typically need to develop expertise in data analysis tools like Python, R, and SQL. Transitioning may also involve gaining experience with large datasets and data visualization techniques relevant to data science roles.

Is biomedical data science a good career?

Biomedical data science is a growing field that combines data analysis, machine learning, and biology to improve healthcare and medical research. It offers high demand for skilled professionals, competitive salaries, and opportunities to work in research institutions, healthcare companies, and biotech firms. Strong programming skills, knowledge of biology, and familiarity with data analysis tools are essential for success in this career.
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Biomedical Data Scientist jobs near you
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

New

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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