Computational Biologist I, TIGL, Glioblastoma
- Employer
- Dana Farber Cancer Institute
- Location
- Boston, Massachusetts, US
- Salary
- Competitive
- Closing date
- Jun 11, 2021
View more
- Sector
- Academic / Research
- Field
- Informatics / GIS
- Discipline
- Statistics
- Salary Type
- Salary
- Employment Type
- Full time
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The Department of Data Science and the Translational Immunogenomics Lab (TIGL) at the Dana-Farber Cancer Institute is seeking a highly motivated and skilled computational individual who will work within an interdisciplinary team comprising computational scientists, data scientists, bioinformaticians, physicians, and biomedical scientists on developing new analytical approaches for complex, information-rich data generated by novel spatially-resolved genomic technologies.
We are currently seeking a Computational Biologist with formal background in bioinformatics, computational biology, computer science, mathematics, physics, or statistics. The successful candidate will help design and implement new computational approaches for the analysis of spatial genomic data from patients' cancer tissues, contribute to the development of exciting cutting-edge spatial genomic technologies, and deriving novel biological insights from the analysis of such spatial genomic data. The position will entail interfacing with cancer pathologists, computational biologists, and oncologists within the vibrant research environments of the Dana-Farber Cancer Institute, Harvard Medical School, and Broad Institute.
Requirements
Projects may include:
Computational and statistical analysis of cancer genomic, transcriptomic, proteomic, and single-cell sequencing data.
Collaborate with computational biologists and physician-scientists to develop and
We are currently seeking a Computational Biologist with formal background in bioinformatics, computational biology, computer science, mathematics, physics, or statistics. The successful candidate will help design and implement new computational approaches for the analysis of spatial genomic data from patients' cancer tissues, contribute to the development of exciting cutting-edge spatial genomic technologies, and deriving novel biological insights from the analysis of such spatial genomic data. The position will entail interfacing with cancer pathologists, computational biologists, and oncologists within the vibrant research environments of the Dana-Farber Cancer Institute, Harvard Medical School, and Broad Institute.
Requirements
Projects may include:
Computational and statistical analysis of cancer genomic, transcriptomic, proteomic, and single-cell sequencing data.
Collaborate with computational biologists and physician-scientists to develop and
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