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.

The mission of Dana-Farber Cancer Institute is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases.

Our Core Values are:

Impact - Above all else, we make a difference by relieving the burden of disease now and for the future through our research, clinical care, education, outreach and advocacy.

Excellence - We pursue excellence relentlessly and with integrity in all that we do, adhering always to the highest standards of conduct.

Compassion and respect - For those in our care and for one another.

Discovery - We foster the spirit of inquiry, promoting collaboration and innovation across traditional boundaries while celebrating individual creativity.


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.


Chair and Professor, Department of Biostatistics and Computational Biology

The Dana-Farber Cancer Institute and the Harvard T.H. Chan School of Public Health are seeking a distinguished scientist to serve as chair of the Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute. The successful candidate will also be appointed as a tenured professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health and will provide leadership in the cancer training and research program in the department. Click here for full description and application information.  


Knowledge Systems Group, cBio Center

Assistant/Associate Professor of Computational Biology


Sander Lab in the cBio Center

Senior Research Technician

Software Engineer

Postdoctoral Fellow


Franziska Michor Lab

Postdoctoral Fellow


Rafael Irizarry Lab

None at this time. 


John Quackenbush Lab

Postdoctoral Fellow


X. Shirley Liu Lab

Experimental Postdoctoral Fellow

Postdoctoral Fellow


Guo-Cheng Yuan Lab

Postdoctoral Fellow


 Assistant/Associate Professor of Computational Biology

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:

  • machine learning and big data sciences
  • biomedical image analysis
  • phenotypic heterogeneity & single cell profiling
  • computational immunology

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 This email address is being protected from spambots. You need JavaScript enabled to view it. , best by January 10, 2017: 1) a letter of application including a concise statement of past, current, and future research, 2) a curriculum vitae, 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, This email address is being protected from spambots. You need JavaScript enabled to view it. . 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.


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 interested in working in radiomics and genomics. This postdoctoral fellow will work with Dr. Quackenbush as part of a a collaborative team to develop methods to integrate quantitative imaging and genomic data in developing better diagnostic, prognostic, and theranostic biomarkers and to instantiate the associated methods in easy-to-use software tools.

Requires a 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: 


 Postdoctoral Fellow Position in Single Cell Genomics - Yuan Lab

One postdoctoral position in computational biology focused on single cell genomics is available in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health. The candidate will develop computational methods for analyzing single-cell transcriptomic and mass cytometry data and apply to solve biological problems in stem cell and cancer immunotherapy research. The candidate will have the opportunity to closely interact with both basic biologists and clinical investigators at the Harvard Medical School and affiliated hospitals.

Qualifications: The ideal applicant should hold a doctoral degree or equivalent qualification in computational biology, (bio)statistics, computer science, or a similar field; have strong programming (in Python, R, Matlab, or C/C++) and communication skills; and have previous experience in analysis and interpretation of genomic data. Previous knowledge in single-cell biology is not required. Candidates holding a degree in biological/medical science are also welcome to apply if they have demonstrated experience in computational or statistical work.

Additional Information: Interested applicants please send CV and at least two recommendation letters to Dr. Guo-Cheng Yuan (gcyuan at jimmy dot harvard dot edu).


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

Dana-Farber Cancer Institute is an AA/EOE.