Dana-Farber Cancer Institute
Dana Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow’s physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals
The Center for Functional Cancer Epigenetics (CFCE) at Dana-Farber Cancer Institute is dedicated to the exploration of the key role that epigenetic alterations and abnormal transcriptional regulation play in the development and progression of cancer. A better understanding of these alterations will lead to better diagnosis for cancer and contributions to the knowledge required for the development of new therapeutics and exploiting epigenetic mechanisms. The Center’s organization and leadership represents a very tight coupling between wet-lab and informatics efforts that provide an unprecedented opportunity to advance the field.
The Bioinformatics Analyst works with the Center Staff and interacts with Principal Investigators, Researchers both within and external to the Center. Responsibilities include analysis of all types of genomic data generated as part of the Center’s projects. Additional activities may include preparing manuscripts and grant applications.
Specific responsibilities of the candidate include:
- Interface with projects to perform quality control and analysis of the data.
- Develop testable hypotheses that will inform follow-up experiments and enable rapid understanding of new biological areas.
- Use a state-of- the- art bioinformatics platform that will include both collecting and housing the data. Contribute to the creation of a biologist-friendly interface and analysis tools to allow the mining of epigenetic data.
The ideal candidate will be collaborative, self-directed and possess the following:
- A Bachelors or Masters degree in computational biology, bioinformatics or related field with at least 2 years professional experience in processing large genome-wide data sets. Experience in epigenetics and transcriptional analysis is a plus.
- Strong programming capabilities in at least two of the following: Python, Perl, Java, R/S-plus and C++.
- Experience in translating data-mining efforts into actionable hypotheses and algorithm design/implementation/testing
- Project management experience, capable of setting and reaching goals.
- Good communication and analytic skills, in interacting with both wet-lab and computational biologists.
This is full time, 40 hours per week.