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Position TitleComputational Biologist/Biostatistician Postdoctoral Position
The mission of Dana-Farber Cancer Institute is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. As an affiliate of Harvard Medical School and a Comprehensive Cancer Center designated by the National Cancer Institute, the Institute also provides training for new generations of physicians and scientists, designs programs that promote public health particularly among high-risk and underserved populations, and disseminates innovative patient therapies and scientific discoveries to our target community across the United States and throughout the world. Dana-Farber encourages a working environment that respects the dignity and value of each staff member while meeting the needs of the Institute. We strive to ensure our excellence in people, management, and diversity practices is as rich as our excellence in cancer care, prevention, and research. Dana-Farber is committed to creating and retaining a prepared, diverse workforce, and to supporting career opportunities for current and future employees.
This postdoctoral position will focus on computational and statistical method development related to high-throughput sequencing data for pathogen identification, immune response, and predictive public health analytics. The candidate will work in collaboration with Dr. Joseph Paulson and Dr. Steven Schiff at the Penn State University under the supervision of Dr. Rafael Irizarry. The postdoc will sit in the Department of Data Sciences at the Dana-Farber Cancer
Institute. The primary focus of work will be performing data analysis and method development on a rich dataset of samples collected from the developing world. Support for this position comes from an NIH Director’s Transformative Award for Personalized Predictive Public Health.
Minimum Requirements: Candidates must have received a PhD in Statistics, Biostatistics, Computational Biology, Bioinformatics or a closely related discipline from an accredited college or university.
Qualifications: Technical proficiency in statistical methods and high-throughput sequencing analysis is essential. The position will focus on the analyses of large RNA-Seq, Metagenomic, and other low and high dimensional data related to neonatal sepsis and environmental data from the developing world. The successful candidates will be self-starters, interact with multiple collaborators and thus require excellent organizational and communication (both oral and written) skills as well as a strong proven track record in scientific publication.