(#107) Computational Biology/Cancer Genomics

(#107) Computational Biology/Cancer Genomics

For high school/undergraduate students, SkoolMentor is offering a unique 8 week opportunity to conduct remote research in cancer genomics research with a Bioinformatics PhD student jointly at UC San Diego and the National Cancer Institute. The mentor has extensive research experience in cancer biology, and is passionate about gleaning biologically relevant insights hidden in cancer genomics datasets using computational techniques. Specifically, he has experience with applying machine learning techniques on large datasets as well as integrating different data modalities to develop testable scientific hypotheses and ask and answer scientific questions.

In addition, the mentor has prior experience guiding high school and college students through research projects and can provide letters of recommendation for college/grad school applications. Note that the mentor has previously guided a student all the way through peer review and publication in a high school journal of science. A positive video review can be found Below

The topics of research can range from the exciting new field of “mutational signatures” and its applications to the analysis of extrachromosomal DNA, a field that is generating a lot of interest as a potent mechanism of treatment resistance. Students will develop hands-on project experience that involves the key steps of the data science workflow (obtaining data, cleaning and processing data so it can be analyzed, and visualizing the data by creating publication quality figures) using the Python programming language. Emphasis will be on applying computational methods to the field of cancer genomics.

The mentor can provide excellent opportunities for students to create a poster to be presented at science fairs and scientific conferences. This is a great opportunity for students who are curious, want to contribute to patient-oriented research and wish to learn about cutting-edge tools and methodologies in cancer research. Opportunities such as these are also a great way for students to showcase the passion for STEM and stand out in college applications. Limited seats available. The research will be driven by the students.

The student should have some familiarity with programming in Python and be interested in the analysis of cancer genomic data. Some basic biology background in cancer genomics is desirable but not necessary.

Here are a couple of video testimonials from our students currently participating in a different research program offered by SkoolMentor.com:

Tell your friends who might be interested in this amazing and hard to find.

For pricing and other details contact support@skoolmentor.com right away as spots fill up fast!

* Application Fee is non-refundable.

Limited seats available.

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