New Free Courses on MyNRMN!

The National Research Mentoring Network (NRMN) is thrilled to announce the launch of “Applying to Graduate School and Summer Research Experiences,” an 8-part series of mini-courses offered in partnership with the Building Infrastructure Leading to Diversity Program at California State University Long Beach.

From preparing to take the GRE to interviewing at schools, the video-based series provides valuable guidance and practical tips for success at every stage of the graduate school application process. Each mini-course in the series is available “a la carte,” allowing students the flexibility to enroll in any or all of the following:

  • Graduate School Application Process
  • Curriculum Vitae (CV) and Statement of Purpose (SOP)
  • Letters of Recommendation (LOR)
  • GRE Preparation and Expectations
  • Seeking Financial Support for Graduate Schools
  • How to Interview Successfully for Graduate School
  • Individual Development Plan (IDP)
  • Summer Research Experiences

These free self-directed online courses are available to any member of the MyNRMN network (https://courses.nrmnet.net/course/catalog). Participants can enroll individually or as members of a custom cohort.

“We are now excited to offer resources for those looking to enter graduate school or summer internships,” said Roda Cotanay, program manager, for the NRMN Resource Center. “We believe that by offering these mini courses, we will be able to increase the number of successful scientists entering the field of biomedical research by equipping them with the basic knowledge that they need to get started.”

“Applying to Graduate School and Summer Research Experiences” is the most recent offering in MyNRMN’s rich catalog of courses, and builds on the success of courses such as “Unconscious Bias,” which now has over 4,500 participants.

Don’t miss out! Take advantage of this opportunity!

The Black Women in Computational Biology Network

<From their website>: BWCB serves Black women in computational biology, which is a discipline that combines mathematics, computer science, and other computational methods to analyze and identify novel findings in large-scale biological data. The field often interfaces with translational research, including genomics, drug development, and clinical trials, through approaches spanning data science, machine learning, and software development, to name a few. Computational biology continues to facilitate rapid development in medicine and human health, including the fast discovery and analysis of the ever-evolving SARS-CoV2 protein family, which catapulted vaccine development at exceptional scales. The computational biology field is expected to grow at a CAGR of over 20% by 2027; however, it is estimated that only 2% of this crucial workforce is Black, and 20% are women. Our community proudly represents trailblazing scientists at the intersection of these identities. 

​BWCB currently has 234 members, 68% are in North America, and the remaining 32% represent a wide array of African, European, and South American countries. Most members are currently at or beyond immediate post-graduate level education, with computer science, molecular biology, and computational biology among the top three degree programs pursued by our members. Most non-student employed members work as research scientists, analysts, and engineers or hold leadership positions such as faculty, directors, or industry/biotech group leaders.