Morehouse School of Medicine

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.

Immunization Requirements

It is MSM’s Immunization policy that all Prospective Employees are encouraged to provide proof that they are vaccinated against COVID-19 prior to commencement of employment. If employment will commence during Flu Season, MSM requires all individuals to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless granted an exemption. Failure to provide proof of vaccination for any required vaccines or obtain an exemption from MSM will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.

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