Computational biology is a rapidly growing field at the intersection of computer science and biology. Because of the field’s interdisciplinary nature, opportunities in computational biology arise in a variety of different places. Tech giants are investing in research into human aging and cognition. Big pharmaceutical companies shift their practices to include computational approaches, while smaller companies firms work to discover drugs for even the most rare diseases. Research institutes are continuing to be revolutionized by computational approaches. Genetics testing companies unlock the secrets of your own ancestry or your prevalence for disease. And so on.
This website was originally designed as a resource for students in the Computational Biology Department housed within Carnegie Mellon University’s world-leading School of Computer Science. Yet even we were surprised by the number and variety of the many different organizations offering opportunities to our students. And so we wanted to broaden our site into a public repository to be used by anyone interested in learning more about careers in computational biology along with the companies and institutions offering them.
This site also serves as a repository for information about educational programs in computational biology, along with research experiences for undergraduates.
If you represent a company or organization offering opportunities in computational biology, and we have not already heard from you, we would love to be in touch! First, please make sure that your organization is featured on our site and that the information is accurate. Please also reach out if you would like to speak to our talented students (whether in person or remotely), or if you would like to share a job or internship opportunity with our students. You can reach us at firstname.lastname@example.org.
Note: We intentionally randomize the outcome of searches on our site so that we don’t prioritize one company or organization over another.
This website was developed by Phillip Compeau and Samantha Mudrinich. Special thanks go to Lisa Everett, Lula Beresford-Banker, and Rosemary Haynes.