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Current Job Openings

Staff positions are listed on the DFCI Careers page at http://www.dana-farber.org/Careers.aspx. Please apply online for those positions. 


Assistant/Associate Professor of Cancer Data Science

The Dana-Farber Cancer Institute (DFCI) and Harvard Medical School (HMS) seek a research faculty member in Cancer Data Science. The position will be based in the Department of Biostatistics and Computational Biology at DFCI, with academic appointment in the Department of Biomedical Informatics at HMS as Assistant or Associate Professor, commensurate with experience, training and achievements.

We seek candidates with a Ph.D. or M.D./Ph.D. degree and a significant record of advancing data science relevant for cancer research, broadly defined.

Please send the following to chair@jimmy.harvard.edu, best by February 1, 2018: 1) a letter of application including a concise statement of past, current, and future research, 2) a curriculum vitae, 3) PDFs of up to four of your key publications, and 4) contact information for four references. In addition, please ask your references to send letters of support to the search committee chair@jimmy.harvard.edu. 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.


Project Coordinator - Cancer Immunologic Data Commons (CIDC)

The Department of Biostatistics and Computational Biology seeks a skilled Project Coordinator for our newly funded Cancer Immunologic Data Commons (CIDC).

This will be an exceptional candidate with strong organizational, communication and interpersonal skills, with specific expertise in project management.

Dana-Farber Cancer Institute was recently awarded a five year grant from the National Cancer Institute (NCI) to build a Cancer Immunologic Data Commons (CIDC). The goal of the data commons is to integrate data from NCI-sponsored immunotherapy clinical trials with the aim of better understanding and predicting which patients respond to certain immunotherapy treatments. The person in this position will be responsible for administrative and logistic work needed to ensure that the NCI initiative is a success.

For full job description and to apply, click here.

Administrative Support Specialist
Statistician I
Software Engineer I - cBio Center at DFCI
Front End Engineer - Knowledge Systems Group


Postdoc, Center for Cancer Evolution

Postdoctoral Fellows will assist the Associate Director for Scientific Operations to develop and fulfill the scientific mission of the Center for Cancer Evolution (CCE). The principal mission of the CCE is to develop and validate mathematical modeling strategies of tumor evolution and treatment response, and eventually utilize these strategies to identify best therapeutic intervention. We will investigate the treatment response of cancer cells and their microenvironment, develop novel mathematical frameworks describing the evolutionary dynamics of tumor progression and treatment response that are parameterized using the experimental systems, and predict and validate optimum intervention strategies that will ultimately be implemented as prospective clinical trials. The CCE is looking for highly motivated and qualified Postdoctoral Fellows to investigate tumor evolution using and creating mathematical models of tumor evolution and drug resistance in order to further the understanding of cancer evolution.  A more comprehensive list of responsibilities and required qualifications is available upon request.

Apply for the position here.

Postdoc in Quantitative Biology
Postdoc in Single Cell Genomics
Postdoc in Shirley Liu Lab
Postdoc in Michor Lab


Research Associate
The Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute seeks an experienced and highly motivated PhD biostatistician to engage collaboratively with investigators on  translational, basic science, outcomes, medical delivery, prevention, and clinical research in HIV disease and and cancer. Job Responsibilities include but are not limited to:

  • Collaborative work on study design, data analysis, and manuscript preparation in HIV disease and
  • Assistance to both junior and senior investigators with NIH and Foundation grant preparation, in addition to training in quantitative methods and other mentoring for junior investigators.  

PhD in statistics or a related field required and at least 2 years of collaborative experience are required. Prior experience in HIV and/or oncology is a plus.

Apply for the position here.

Harvard TH Chan School of Public Health Postings


Assistant/Associate Professors of Biostatistics

The Department of Biostatistics at the Harvard T.H. Chan School of Public Health seeks outstanding candidates to fill two tenure-track positions at the assistant or associate professor level. We seek candidates with a strong background in statistical theory and methodology, demonstrated expertise in development of new biostatistical methods, and an interest in collaborative research in public health and biomedical science. Candidates should have the potential to become leaders in the development and application of statistical methods in health sciences and should also be enthusiastic about teaching, training, and mentorship through our graduate programs. Responsibilities will include methodological and collaborative research, teaching, and supervision of graduate students. Candidates are required to have a doctorate by the time the appointment begins, and academic rank will be determined in accordance with the successful candidate’s experience and accomplishments.

The Department of Biostatistics offers an exceptional environment to pursue research and education in statistical methods while being at the forefront of efforts to benefit the health of populations worldwide. Our faculty are leaders in the development of statistical methods for the design and analysis of clinical trials and observational studies, missing data, causal inference, precision health, network analysis, statistical genetics and genomics, neurostatistics, and environmental statistics. Our innovative approaches to computational biology, quantitative genomics, and the analysis of massive health-related data are strengthened by a deep foundation in theory and application. Our unique community provides unparalleled collaborative opportunities with academic departments across Harvard, the Dana-Farber Cancer Institute, and other world-class Harvard affiliated hospitals.

Please apply to: https://academicpositions.harvard.edu/postings/7937

For questions, please contact:
Chair, Search Committee for Assistant/Associate Professor of Biostatistics c/o Susan Luvisi
Department of Biostatistics
Harvard T.H. Chan School of Public Health
Email: biostatjrsearch@hsph.harvard.edu

The Harvard T.H. Chan School of Public Health seeks to find, develop, promote, and retain the world’s best scholars. We are committed to upholding the values of diversity, equity, and inclusion in our school and the communities we serve.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Information on resources for career development and work/life balance at Harvard T.H. Chan SPH can be found at: http://hsph.me/resources-career-development-and-work-life-balance.

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