Computational Biology
Assistant/Associate Professor

Dana-Farber Cancer Institute

The Dana-Farber Cancer Institute (DFCI) and Harvard Medical School (HMS) seek an accomplished and innovative research faculty member to join the newly formed cBio Center at DFCI. The Center is an open and collaborative environment with a focus on computational biomedicine and cancer systems biology and is headed by Chris Sander. We provide an opportunity to pursue basic and translational research with an emphasis on solving biological problems using computational and data science methods, and to collaborate with cancer researchers and clinicians to impact clinical trials and cancer care in the age of genomically informed personalized medicine. The primary position will be in the Department of Biostatistics and Computational Biology at DFCI, with an academic appointment in the Department of Biomedical Informatics at HMS. Particular areas of interest include:

We also encourage strong applications in other areas of quantitative biology.

Requirements: a Ph.D. or M.D./Ph.D. degree and a significant record of asking good questions, advancing technology, making discoveries, and reporting these in peer-reviewed publications. Academic rank at Assistant or Associate Professor will be according to experience and productivity. Please send the following to, best by January 10, 2017: 1) a letter of application including a concise statement of past, current, and future research, 2) a curriculum vitae (preferably using the IMPACT format, see below), 3) PDFs of your key publications (max four), and 4) contact information for four references. In addition, please ask your references to send letters of support to Giovanni Parmigiani, Applications will be reviewed once the application package is complete.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We especially encourage women to apply.

IMPACT format for list of publications on CV

The IMPACT format is simply the standard format for journal references, supplemented by information on:

(1) The author's personal contribution to the paper

(2) An impact number for the paper (not the journal), such as the ISI (Thomson) or Google Scholar number of citations to the paper since its publication, or the number of downloads, or both.

The IMPACT format for publications is intended to provide faculty search committees with more refined information about the relationship of each publication to the scientist's track record in research. In particular, it gives a more accurate indication of the author's contribution than may be coded in the order of authors, and focuses on the impact of each individual paper, rather than on the paper-averaged impact of the journal.


1. Watson JD & Crick FH, Molecular structure of nucleic acids; a structure for deoxyribose nucleic acid, Nature 171 (1953) 737-8.
Contribution: FH Crick performed the calculations and helped write the paper. Citations: 23,547 (ISI)

2. Johnson J & Rove C, P53 activates apoptosis, PLoS One (2007).
Contribution: J Johnson performed the in situ hybridization experiments. Citations: 34 (Google Scholar)