DECODE: Developing Experts in Computation, Omics and Data Exploration Training Program

Your primary research opportunity is the dissertation research project conducted under the primary research mentor. 

The team project at the foundation of this training program offers opportunities to engage in short-term research in bioinformatics. The project could involve novel analysis of publicly available data, comparison of different tools or analytical platforms, development of new software or apps, or creation of educational modules to teach bioinformatics and data science. 

The team project is expected to result in a product (e.g., data analysis, software development or educational modules) that will be published or made available to the public and contribute to developing a professional resume or CV.

The team project also includes small group training with a high faculty-to-student ratio and peer advisors, which provides a personalized learning experience and social community.

As a member of the training program, you'll receive financial support, including: 

• Yearly stipend of $33,000
• Tuition and fees waived
• Medical insurance

Plus, in addition to getting real-world experience in biomedical research, you will:

• Gain transferable skills, like communication and leadership, that are crucial to success regardless of career path.
• Stand out in today's competitive scientific landscape and strengthen your credibility for future training grant and fellowship funding.
• Build your CV through publications, presentations, software development or educational modules.
• Network with a cohort of students, faculty members and peer advisors, forming connections for future collaborations and job opportunities.

Eligibility

The program is highly competitive and trains only four graduate students each year.

The training program is open to domestic, first- and second-year PhD students in biomedical sciences. Preference is given to newly matriculating students. You must be able to commit to all required training program activities.

No prior training in computer programming or data science is required. Students should demonstrate self-motivation, self-direction in learning, timeliness and accountability, and willingness to venture outside their comfort zone.

Application

Requests for applications are made as slots become available and occur in the spring/summer, in parallel with IGPBS PhD admissions offers.

There is a competitive application process for each available slot. The application includes a brief personal statement and an interview.

Email Dr. Andrew Dudley with any questions.