Job Description

A Postdoctoral Fellow positon is currently available within the laboratory of Dr. Benjamin Greenbaum at the Tisch Cancer Institute within the Icahn School of Medicine of Mount Sinai in the field of mathematical and computational cancer immumology. The lab focuses on quantitative biology at the intersection of cancer research, immunology, evolutionary theory, and virology. In particular we are interested in understanding the impact of tumor-immune interactions on tumor evolution. The candidate will have an opportunity to contribute to and shape several ongoing projects within the lab and as part of the new Center for Computational Immunology at the Tisch Cancer Institute. The Postdoctoral Fellow will report directly to the Principle Investigator (PI). 

The Tisch Cancer Institute is a vital component of the Icahn School of Medicine at Mount Sinai Hospital and plays a key role in the Mount Sinai Health System, which is one of the largest health care systems in the nation. We are a National Cancer Institute (NCI)-designated center and provide a multidisciplinary approach to cancer treatments and clinical breakthroughs that may one day put an end to cancer. 

1. Perform independent research in the above mentioned topic areas.
2. Report to PI research progress and maintain a current knowledge of literature in relevant fields. Incumbents are expected to stay apprised of the literature as well as practical skill sets relevant to the field.
3. Maintain good records and contact with collaborators.
4. Nurture collaborative relationships with fellow scientists within the institution, locally, nationally and internationally.
5. Summarize findings in a timely manner and assist in drafting publications under the direction of the PI. Assists the Principal Investigator with publications by extracting and compiling moderate to complex research data; assisting in interpreting the data; reviewing and editing articles used in scientific publication. Must have strong science background.
6. Master computer and technical skills necessary for experimental execution as well as data input and analysis.
7. Mentors and trains less experienced research staff and graduate 

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