Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer and related diseases. A team of translational researchers led by Dr. Marios Giannakis at the Dana-Farber Cancer Institute (with co-affiliation at the Broad Institute of MIT and Harvard) is seeking a highly motivated, exceptional candidate to join our efforts in obtaining novel disease and therapeutic insights through the computational analysis of large-scale and next-generation sequencing datasets. The successful candidate will play an essential role in collaborating with a diverse array of community members both at Dana-Farber and the Broad, including molecular biologists, medical oncologists, pathologists, epidemiologists, genomics specialists and computational scientists among others. This individual will work towards analyzing some of the world’s most comprehensive and well-annotated biomedical datasets and leverage both cutting edge algorithms available in the Harvard community as well as develop novel computational approaches towards tackling several of the most pressing questions in cancer biology today. Consequently, there is unparalleled potential for your contributions to be presented, used and recognized globally.
1. Analyze large-scale biomedical data such as whole-exome and whole-genome sequencing, single-cell and bulk RNASeq data, functional genomic, metabolomic and other multi-dimensional datasets
2. Utilize, develop and deploy computational tools for the exploration and integration of complex datasets
3. Conceive, implement and test statistical models
4. Communicate effectively with other team members in our group and community, present and publish impactful research
5. Work together with experimental biologists to design experiments and analyze resulting data
6. Learn from and teach others towards expanding our collective knowledge and productivity
Bachelors degree required, MS or PhD in Bioinformatics, Computer Science, Statistics, Life Sciences or any quantitative discipline
1. Proficiency in programming languages such as R, Python, Perl, MATLAB, Java is required
2. Statistical knowledge and programming using R or related tools, database query through SQL and ability to prototype software solutions for data analysis
3. Familiarity with a wide range of biological databases and resources, such as TCGA, GenBank, EnsEMBL, the UCSC genome browser, Reactome, and other similar resources is highly desirable.
4. Biomedical background or degree is desirable but not essential
5. Excellent interpersonal and communication skills are essential.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.