Job Openings

Located in Boston, Dana Farber Cancer Institute brings together world-renowned clinicians, innovative researchers, and dedicated professionals as 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.

We are currently accepting applications for the following positions. Please see the job description for application procedure. Dana-Farber Cancer Institute is an affirmative action/equal opportunity employer.

Postdoctoral Fellow - Quackenbush Lab

The Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute seeks a postdoctoral fellow with expertise in Cancer Computational Biology and Bioinformatics to work as part of a collaborative project generating integrated 'omic data.

This postdoctoral fellow will work with Dr. Quackenbush to develop analytical methods for integrating the various data that will be collected as part of this project and will work with the various individual investigators on the analysis of their individual and collective data sets. Opportunities exist for the analysis of gene expression, GWAS, and other data and the development of new methods for linking and interpreting these data.

There are currently two openings, one working with integrated genomic data in lung disease and a second with a focus on single cell genomics .

Ph.D. in Computational Biology, Bioinformatics, Genomics, or a related field.
    

Hours are Monday - Friday, 8:30 AM - 5:00 PM.

To apply, go to: http://www.dana-farber.org/Careers/Careers-at-Dana-Farber.aspx

Postdoctoral Fellow - Irizarry Lab

The Department of Biostatistics and Computational Biology invites applications for a talented and motivated postdoctoral research fellow to work at the interface of cancer biology, statistics, and bioinformatics.

The post-doctoral fellow will work under the supervision of Dr. Rafael Irizarry.  The primary research focus may include developing statistical and computational methods for data produced by high throughput technologies such as next generation sequencing and microarrays.  Two specific applications of special interest are DNA methylation and RNAseq.
    

Applicants should have a strong quantitative background and hold a doctoral degree in a related field (such as Bioinformatics, Bio/statistics, Applied Mathematics, Physics, and Computer Science)
    

This position is full-time, Monday through Friday, 40 hours per week.

To apply, go to: http://www.dana-farber.org/Careers/Careers-at-Dana-Farber.aspx

Postdoctoral Fellow - Liu Lab

Bioinformatics Postdoctoral Position in Computational Cancer Epigenetics
Dana-Farber Cancer Institute and Harvard University

Description:
The laboratory of Professor X. Shirley Liu (http://liulab.dfci.harvard.edu/, Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Harvard School of Public Health) invites applications for a postdoctoral position.

The research in the laboratory focuses on designing bioinformatics algorithms (Liu et al, Nat Biotech 2002; Zhang et al, Genome Biol 2008) and designing integrative genomics approaches (He et al, Nat Genet 2010) to understand transcriptional and epigenetic regulation in development and diseases (Carroll et al, 2006; Oszolak et al, Nat Biotech 2007; Lupien et al, Cell 2008; Wang et al, Cell 2009; Vastenhouw et al, Nat 2010; Feng et al, Science 2011; Xu et al, Science 2012).

A representative list of current projects includes: design a fast algorithm to search all public ChIP/DNase-seq for relevant data and regulatory logic; integrate ChIP/DNase-seq data to mine The Cancer Genome Atlas data; use chromatin dynamics to understand cell differentiation and cancer drug targets; predict cancer drug sensitivity and synthetic lethal pathways in cancer cells; model the genetic and epigenetic mechanisms underlying cancer drug resistance; identify and characterize cancer-related lncRNAs.

The Liu Lab has trained 2 PhDs and 16 postdoctoral fellows (6 current) in the last decade, with 8 of them gone on to tenure track faculty positions.

Requirement:
Ideal applicant should have:

• a PhD degree in related field (physical sciences or biology)
• strong programming skills: ((Python | C | C++ | Java) & R)
• strong quantitative background (machine learning, Bayesian inference, etc.) or computational genomics experiences (high throughput sequence analysis, etc.)
• at least two first author papers (or three if co-first authors) written in English in previous area of research (not necessarily computational biology) with submitted, accepted or published status in journals or conference proceedings
• good spoken and written communication skills
• In addition, applicant must be able to visit Boston for interviews without visa application.

How to apply:
Interested applicants should submit a letter of interest with a one-page proposal for a project to be conducted in the Liu Lab, CV, and three references (including name and contact information) to xsliu (At) jimmy (Dot) harvard (Dot) edu with subject line “Postdoctoral application”.

Postdoctoral Fellow - Yuan Lab

A full-time postdoctoral position in computational biology/systems biology is immediately available. The successful candidate will develop computational methods to characterize chromatin states and to investigate the functional relationship between chromatin state changes and cell-type identity in the context of stem cell biology and cancer. The candidate will have the opportunity to closely interact with various experimental biologists at Harvard Medical School. The position offers excellent scientific training opportunities in a highly stimulating and interdisciplinary environment.

Applicants should have a strong quantitative background and holds a Ph.D. in a related field (Statistics, Applied Mathematics, Physics, Electrical Engineering, or Computer Science) and are highly motivated to solve biological problems. Previous experience in analyzing large-scale biological data (microarray/RNAseq, ChIP-chip/seq, etc) is highly desirable. Good communication and programming skills (MATLAB, python, R, or C) are required. Familiarity with graphic modeling is a plus.

Applicants should submit an updated curriculum vitae and three recommendation letters to Dr. Guo-Cheng Yuan via email ( This email address is being protected from spambots. You need JavaScript enabled to view it. ).

Biostatistician

The Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute is conducting a search for an experienced Master's level Biostatistician. The ideal candidate will collaborate with medical and scientific researchers in the design, analysis, and publication of international clinical trials in breast cancer and in multiple projects in clinical quality improvement research in oncology.

• A Master's degree required.
• Strong background in statistical principles, data, analysis, computing (especially SAS & R), communication skills, and at, least 3 years of experience.
• Some travel nationally and internationally is also a requirement for this position.

Consideration of an application will begin after the application package is complete.

Dana-Farber Cancer Institute is an AA/EOE.