Located in Boston, 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 tomorrows 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 Belfer Institute is dedicated to translating basic discoveries into new effective therapies for cancer. The integration of basic research and drug discovery programs at the Belfer Institute provides a unique opportunity to convert critical basic discoveries in the laboratory into novel targeted therapies to improve the lives of cancer patients. This highly integrated goal-oriented organization represents a new academic construct that provides an unprecedented opportunity to change the way anti-cancer therapeutics are discovered and developed. For more information please visit: http://belferinstitute.dfci.harvard.edu
As part of our scientific leadership team, we are seeking an outstanding scientist with significant experience in oncology bioinformatics to lead a bioinformatics group to identify new targets and biomarkers, delineate mechanisms of resistance, and support the discovery and development of novel oncology therapeutics. This scientific leader will work closely with diverse partners and stakeholder to deliver high-quality and time-driven results from within a premier academic setting.
Lead and define the long term vision of the Bioinformatics group
Act as a scientific leader in corporate & academic collaborations
Lead efforts to acquire and analyze many different high-dimensional datasets from both internal and external sources
Identify novel targets, biomarkers, mechanisms of resistance, and effective therapeutic combinations through the translation of bioinformatic data.
Design and implement approaches to solve complex computational and mathematical problems as they relate to interpreting biological data.
Assist with computational analyses and implementing tools for analyzing large datasets.
Act as key technical resource for researchers seeking assistance with development and implementation of computational, mathematical and statistical methods and analysis.
Identify new and emerging genomic technologies and data sources to enable internal target ID and drug discovery programs
Lead efforts to build an internal relational database infrastructure to enable hypothesis generation and testing
Effectively communicate data and results to stakeholders on project teams
Optimize results through collaborations with Dana-Farber Centers and scientists
Ph.D. + at least 6 years of experience in the field of oncology, with industry experience preferred.
Experience in applying oncogenomic datasets for target ID and biomarker discovery is essential
Strong management skills and demonstrated ability to lead a group of scientists to deliver on objectives in defined timelines.
A strong understanding of oncology biology, signaling, and oncogenomics is essential
Independent, self-motivated and innovative.
Ability to excel in a goal-oriented, multifaceted and fast-moving team environment.
Experience in drug discovery programs with external partners is a plus
Outstanding communication, organizational and leadership skills, with a successful track record of collaborating with cross-functional scientific teams