ZipRecruiter

Log In

1

Biomedical Data Science Jobs (NOW HIRING)

Axle

Data Scientist II

Rockville, MD · On-site

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Axle

Data Scientist II

Rockville, MD

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Axle

Data Scientist II

Rockville, MD

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

next page

Showing results 1-20

All JobsBiomedical Data Science Jobs

Biomedical Data Science information

What is the difference between Biomedical Data Science vs Bioinformatics?

AspectBiomedical Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Biostatistics, or related fields; programming skillsDegree in Bioinformatics, Computational Biology, or related fields; programming skills
Work EnvironmentResearch labs, healthcare institutions, biotech companiesResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large biomedical datasets, developing predictive modelsAnalyzing biological data, genome sequencing, gene annotation
Search & Comparison IntentHigh overlap in data analysis, healthcare applicationsFocus on biological data interpretation

Biomedical Data Science and Bioinformatics share many skills and work environments, but they differ in focus. Biomedical Data Science emphasizes analyzing large datasets and developing predictive models in healthcare, while Bioinformatics concentrates on biological data analysis, such as genome sequencing. Both roles require programming skills and are vital in biomedical research, but their specific applications and industry terminology vary.

How does a Biomedical Data Scientist typically collaborate with clinicians and researchers on interdisciplinary projects?

Biomedical Data Scientists often work closely with clinicians, biologists, and other researchers to translate complex biomedical questions into data-driven solutions. This collaboration usually involves regular meetings to understand clinical needs, define project goals, and discuss data interpretation. Effective communication is key, as team members may have different expertise and perspectives. By collaborating, Biomedical Data Scientists help ensure that analytical methods and results are both rigorous and clinically relevant, ultimately contributing to impactful healthcare outcomes.

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, machine learning, programming (typically Python or R), and a solid understanding of biological or clinical data. Familiarity with bioinformatics tools, data visualization platforms, high-throughput sequencing technologies, and relevant certifications (such as in data science or bioinformatics) is commonly required. Strong problem-solving abilities, communication skills, and interdisciplinary collaboration help set top professionals apart in this field. These competencies are crucial for extracting meaningful insights from complex biomedical data, driving research innovation, and supporting evidence-based healthcare decisions.
More about Biomedical Data Science jobs
What cities are hiring for Biomedical Data Science jobs? Cities with the most Biomedical Data Science job openings:
What states have the most Biomedical Data Science jobs? States with the most job openings for Biomedical Data Science jobs include:
What job categories do people searching Biomedical Data Science jobs look for? The top searched job categories for Biomedical Data Science jobs are:
Biomedical Data Science jobs near you
Infographic showing various Biomedical Data Science job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 7% Full Time, 81% Part Time, 5% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
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 3 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

Apply