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Bioinformatics Programmer Jobs in Atlanta, GA (NOW HIRING)

Postdoctoral Fellow

Atlanta, GA · On-site

$47K - $63K/yr

... bioinformatics tools, and computational approaches, including programming languages and machine learning. • Prepare manuscripts for peer-reviewed journals; present findings at conferences; prepare ...

Experience using scripting or programming languages (such as Python) to automate data processing ... Bachelor's degree in Information Technology, Computer Science, Data Analytics, Bioinformatics or ...

Demonstrated experience in bioinformatics pipeline/workflow development * Proficiency in programming and coding as required for running NGS protocols * Knowledge of and experience working with ...

Demonstrated experience in bioinformatics pipeline/workflow development * Proficiency in programming and coding as required for running NGS protocols * Knowledge of and experience working with ...

Proficiency in interacting with BAs, Developers, Testers, Business Users and Client Teams. * Ability to understand complex business requirements. * Experience with phases of the test cycle - Test ...

Showing results 41-60

Bioinformatics Programmer information

See Atlanta, GA salary details

$67.2K

$136.2K

$242.2K

How much do bioinformatics programmer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for bioinformatics programmer in Atlanta, GA is $136,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $166,900.00 per year, depending on experience, location, and employer.

What is a bioinformatics programmer?

A Bioinformatics Programmer is a professional who develops and maintains software tools to analyze biological data, such as DNA sequences, protein structures, and genomic variations. They work at the intersection of computer science and biology, using programming languages like Python, R, and Java to process and visualize complex biological datasets. Their role is crucial in fields like genomics, drug discovery, and biomedical research, where they help automate data analysis and support scientific investigations.

What skills and qualifications are needed to be a bioinformatics programmer?

To thrive as a Bioinformatics Programmer, you need strong programming skills (often in Python, R, or Java), a solid background in biology or life sciences, and experience working with large-scale biological data. Commonly used tools and systems include bioinformatics software like BLAST, Bioconductor, cloud computing platforms, and version control systems such as Git, and certifications in relevant domains can be advantageous. Critical thinking, problem-solving, and effective communication are essential soft skills for integrating research findings and collaborating with interdisciplinary teams. These skills ensure you can develop robust, accurate computational solutions that drive advances in biological research and healthcare applications.

What does a bioinformatics programmer do?

A typical day for a Bioinformatics Programmer involves writing and optimizing code to analyze large datasets, commonly derived from genomics, proteomics, or clinical studies. You'll spend time collaborating with biologists, statisticians, and other programmers to design experiments, validate results, and interpret findings. Most roles also include maintaining data pipelines, troubleshooting software issues, and staying updated with the latest bioinformatics tools and research. The work environment often blends independent coding with regular team meetings and project updates, offering both technical and interdisciplinary challenges. This dynamic workflow makes the role both intellectually stimulating and impactful in advancing scientific discoveries.

What are popular job titles related to Bioinformatics Programmer jobs in Atlanta, GA?

For Bioinformatics Programmer jobs in Atlanta, GA, the most frequently searched job titles are:

Infographic showing various Bioinformatics Programmer job openings in Atlanta, GA as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, 11% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $136,204 per year, or $65.5 per hour.

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

Morehouse School of Medicine

Atlanta, GA • On-site

Full-time

Re-posted 14 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.
Job Duties