Adjunct Faculty – Biomedical Data Science & Statistics; MSBT Program

Overview

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. The course description Biomedical Data Science & Statistics (3 Credit Hours) – Core 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 Git Hub. The course prepares students to understand and apply computational tools and analytical frameworks increasingly essential to biotechnology, biomedical research, precision medicine, and digital health.

• 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;
  Git Hub 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

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.