Job Description:

Join the C-MOOR project ( https://www.c-moor.org ) and help transform genomics education by providing early research experiences for the next generation of data scientists. Our team is focused on integrating genomic data science into the curriculum, ensuring students gain hands-on research experience regardless of their institutional affiliation. As the Genomics Education Lead, you will create lessons, support instructors, and assess the impact of CUREs covering areas such as soil metagenomics ( http://biodigs.gdscn.org ) and transcriptomics ( https://science.c-moor.org/miniCURE-RNA-seq ) that will be used at JHU and our partners at 2- and 4-year institutions. This position is at the Assistant Research Scientist level and funded for two years, with additional employment contingent upon securing further funding

Specific Duties and Responsibilities:

• Create course-based undergraduate research experiences (CUREs) by collaborating with instructors as part of the BioDIGS soil biodiversity project

• Support academic and research partners with ongoing offerings of the RNA-seq miniCURE

• Assess program effectiveness through feedback and data analysis

  Why Work with Us?

  Bring cutting-edge genomics and computing technologies to diverse audiences using novel educational tools like OTTR ( https://www.ottrproject.org ) and Loqui ( https://loqui.fredhutch.org ). This position provides an opportunity to influence computing practices at Johns Hopkins University and beyond, making a significant impact in the classroom and scientific enterprise. You will work with great collaborators at organizations such as DaSL ( https://hutchdatascience.org ), GDSCN ( https://www.gdscn.org ), Galaxy ( https://galaxyproject.org ), and AnVIL ( https://anvilproject.org ).

  Qualifications:

• PhD or equivalent in Biology or related fields

• Demonstrated background in genomic data science

• Strong knowledge of the R programming language

• Excellent communication and project management skills

• Ability to collaborate effectively with educational and research partners

  Preferred Qualifications:

• Metagenomics data analysis of 16S rRNA or whole shotgun sequencing

• Familiarity with educational technology and open educational resources

• Understanding of assessment strategies

• Mentorship of diverse populations, especially instructors unfamiliar with technical material

  How to Apply:

  Submit your CV, three references, and if available, a link to your GitHub repository and sample educational material through Interfolio.

  If you have any questions, please contact Dr. Frederick Tan via email at ftan2@jh.edu.

Job Type: Full Time Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.