Chair, Department of Biostatistics and Computational Biology

US-MA-Boston
10 months ago
Job ID
2016-5492
Category
Physician/Faculty
Type
full time
Grade
55

Overview

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

Responsibilities

Chair, Department of Biostatistics and Computational Biology
Dana-Farber Cancer Institute
Professor of Biostatistics
Harvard T.H. Chan School of Public Health


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.


The Department of Biostatistics and Computational Biology at the Dana-Farber Cancer
Institute is an active department of 21 faculty, 12 doctoral research scientists, 21 masterslevel
statisticians, and 12 bioinformatics analysts/engineers conducting wide-ranging
methodological research in biostatistics and computational biology and collaborative
research in cancer. The department is home to the statistical centers for the International
Breast Cancer Study Group and the ECOG-ACRIN Cooperative Group, coordinates the
Biostatistics Core Facility for the Dana-Farber/Harvard Cancer Center, and is the principal
site of the Centers for Cancer Computational Biology, Functional Cancer Epigenetics, and
Center for Cancer Evolution and cBio Center. The department is closely affiliated with the
Department of Biostatistics at the Harvard T.H. Chan School of Public Health, where many
of the department’s faculty hold primary appointments and participate in the graduate
training program.


The successful candidate will be a visionary leader, internationally recognized as a
pre-eminent scientist with an established record of scholarship, ideally in the area of
cancer research. Candidates should hold a doctoral degree in a relevant field.
Please submit a letter of application, including a statement of current and future
research interests, a curriculum vitae, and sample publications, online at
http://academicpositions.harvard.edu/postings/7145 . It would be helpful if you would
also provide the names of senior scholars likely to be most knowledgeable about your field
and about your work in particular. Please contact facultyaffairs@hsph.harvard.edu with
any questions.


Dana-Farber Cancer Institute and Harvard University seek to find, develop, promote, and
retain the world’s best scholars and are Affirmative Action/Equal Opportunity Employers.
Applications from women and minority candidates are strongly encouraged.
The Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute
provides a flexible working environment and provides a balance between work and life.
Information on resources for career development and work/life balance at the Harvard
Chan School can be found at: https://hlc.harvard.edu/hlc-work-life-programs-at-a-glance/.

Qualifications

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

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