• 617-632-3012
  • This email address is being protected from spambots. You need JavaScript enabled to view it.

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. 

Faculty

No faculty openings at this time.

Staff

Lead Computational Biologist, Cancer Immunologic Data Commons (CIDC)
Dana-Farber Cancer Institute (DFCI) was recently awarded a five-year grant from the National Cancer Institute (NCI) as part of the Cancer Moonshot Project to build a Cancer Immunologic Data Commons (CIDC). NCI plans to conduct comprehensive profiling of tumor, blood, and fecal samples from NCI-sponsored immuno-oncology trials at four Cancer Immune Monitoring and Analysis Centers (CIMACs: Stanford, MD Anderson, Mt Sinai, and DFCI). The CIDC is responsible for building the database infrastructure, bioinformatics pipelines, and computational algorithms for the resulting profiling data and related clinical data, enabling integrated analysis across trials and sharing of all data by the larger immuno-oncology research community. The goal of the project is to enable systematic incorporation of biomarker studies in NCI-supported early immunotherapy clinical trials to better understand and predict which patients respond to certain immunotherapy treatments.


The CIDC project currently seeks a Lead Computational Biologist for the CIDC. The Lead Computational Biologist will work closely with laboratories of DFCI CIMAC and CIDC investigators, especially laboratories of Drs. X. Shirley Liu, Ethan Cerami, Catherine Wu, and Steve Hodi on various bioinformatics aspects of immune-profiling tools and analyses. We are looking for exceptional candidates with strong computational biology, , immunogenomics, and communication skills.



For more information and to apply for this position, click here.

Postdocs

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
Research Fellow - Carter Lab (Clonal Population Genetics)
Research Fellow - Carter Lab (Machine-Learning Comp Bio)

Researchers

Sr Scientist / Project Leader, Clinical Genomics and Clinical Trial Matching

The Knowledge Systems Group at Dana-Farber Cancer Institute seeks a Senior Scientist / Project Leader to lead the development of MatchMiner, our open source informatics platform for algorithmically matching cancer patients to precision medicine clinical trials. For complete background on the MatchMiner platform, please refer to our paper on bioRxiv.

 We are seeking an exceptional candidate to lead the MatchMiner effort and broaden its impact at DFCI and other cancer centers.  This is an exciting, open source platform that has the potential to affect thousands of patients across the U.S., and we need a creative leader, who can take the platform to the next level


For more information and to apply for the position, click here.
Research Associate
Research Scientist

Harvard TH Chan School of Public Health Postings

Faculty

Assistant/Associate Professors of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health seeks candidates to fill two tenure-track positions at the assistant or associate professor level. For at least one of the positions, we seek candidates with a strong background in biostatistical theory and methods, demonstrated expertise in the development of new methods, and an interest in collaborative research in public health and biomedical sciences. We also seek candidates with expertise in data science more broadly, including computational science, machine learning and related methods, with applications in health and biomedical research. Candidates should have the potential to become leaders in the development and application of biostatistical methods and computation in health sciences and should be enthusiastic about teaching, training, and mentorship through our graduate programs. Responsibilities will include methodological and collaborative research, teaching, and supervision of graduate students. Qualified applicants would have a doctoral degree in biostatistics, statistics, mathematics, epidemiology, computer science, computational biology, or a related field. Candidates are required to have their doctoral degree 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 biostatistics while being at the forefront of efforts to benefit the health of populations worldwide. Our faculty are leaders in the development of methods for the design and analysis of clinical trials and observational studies, missing data, causal inference, precision health, network analysis, computational and systems biology, microbiome analysis, statistical genetics and genomics, neurostatistics, and environmental statistics. Our innovative approaches to the analysis of massive health-related data are strengthened by a deep foundation in theory and application. The department prides itself on having strong mentoring and a supportive environment for assistant and associate professors. Our unique and diverse 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: http://academicpositions.harvard.edu/postings/8474

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.
The committee will review applications on a rolling basis, beginning immediately, until both positions are filled.
© 2018 All Rights Reserved.