You are viewing a preview of this job. Log in or register to view more details about this job.

Summer Intern (Bioinformatics Programming)

The George Washington University
Email

GlyGen-CFDE Summer 2025 Internship Program Announcement

Position: Summer Intern (Bioinformatics Programming)

Location: Washington DC, The George Washington University

Duration: June 2 – August 1, 2025 (9 weeks)

Number of Positions: 2 - Bioinformatics Programming

Internship Type: In-person Paid Internship, 40 hours/week, 9 weeks.

Internship Stipend: $17.50/hr

Internship Focus: Bioinformatics programming, data wrangling, exploration and analysis of glycans, proteins, and biomarkers with an emphasis on training and documentation

Internship Level: Undergraduate, Graduate

Housing Assistance Provided: Yes (Assistance provided for finding accommodation; candidates are responsible for their own housing costs)


Important Dates

  • Applications Open: November 18, 2024
  • Applications Close: January 20, 2025
  • Interviews: February - March (virtual)
  • Acceptance Notifications: By March 30, 2025
  • Program Dates: June 2 – August 1, 2025

The GlyGen Team at The George Washington University School of Medicine and Health Sciences is excited to offer an in-person, paid summer internship for enthusiastic and driven undergraduate and master's students. This 9-week program provides a comprehensive experience in bioinformatics and biology applications in biomedical research, utilizing the Common Fund Data Ecosystem (CFDE) and GlyGen tools and data.

Internship Overview: Interns will have the opportunity to deepen their understanding of biology, biochemistry, and bioinformatics. They will explore and analyze glycans, proteins, and biomarkers while working on tasks aimed at answering critical biological questions. This program is designed for four ambitious individuals eager to gain hands-on experience in bioinformatics and biology, while also developing valuable soft skills.

Interns will collaborate with GlyGen and CFDE teams from both GW and the University of Georgia (UGA), working on projects under the expert guidance of our Internship Director. This internship offers a unique chance to contribute to cutting-edge biomedical research and develop essential skills in both bioinformatics and biology.

Bioinformatics Programming Projects: Interns will explore applications of artificial intelligence (AI), deep learning (DL), and machine learning (ML) to problems in glycoinformatics relevant to GlyGen. Specific projects may include applications of deep learning large language models, deep learning for object detection in images, and training new machine learning models for glycan function inference or sequence feature identification.

Applicants with significant experience in AI, DL, and ML will be given preference.

Basic Qualifications:

  • 18 years or older.
  • Located in the DC area for the duration of the internship.
  • Permitted to work in the U.S.
  • Team player with the ability to work in a highly collaborative environment.
  • Excellent written and verbal communication skills.
  • Openness to learning and adapting to new challenges.

Preferred Qualifications (Bioinformatics Programming):

  • Pursuing or holding a Bachelor’s, Master’s, or advanced degree in Biology, Biochemistry, Bioinformatics, Data Science, Computer Science, Bioengineering, Chemical Engineering, or related fields.
  • Minimum overall GPA of 3.0 on a 4.0 scale.
  • Proficiency in common software like Microsoft Office Suite and Google Office Suite.
  • Experience in Python, R, or Perl programming languages and Linux environments.
  • Experience in Machine Learning, Deep Learning and Artificial Intelligence.
  • Prior knowledge of biocuration, glycoscience, and biomarkers is a plus.
  • Familiarity with GlyGen, CFDE resources and other biological databases.

Internship Benefits:

  • Paid internship in the heart of Washington, D.C.
  • Hands-on experience in bioinformatics, exposure to web resources, data, and tools.
  • Advanced understanding of glycans, proteins, and biomarkers.
  • Exploration of advanced concepts such as machine learning, AI, data curation, and data standards.
  • Development of soft skills.
  • Professional networking with principal investigators, early-career researchers, and experts.
  • Recommendation letter for future applications.
  • Post-internship completion certificates.
  • Opportunity to organize a symposium.

For any issues/additional information contact: myglygen@gmail.com