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Research Fellow - Marasco Lab

Employer
Dana-Farber Cancer Institute
Location
Boston, Massachusetts (US)
Salary
Salary commensurate with experience.
Closing date
Feb 25, 2022

View more

Discipline
Physical Sciences, Chemistry, Computer Sciences, Physics
Position Type
Full Time
Job Type
Postdoc Fellowship
Organization Type
Academia
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Research Fellow - Marasco Lab

Full Time (Up to 1 day remote/week)

Exciting opportunity for an exceptional post-doc applicant to be co-mentored by Drs. Hemberg (computational biology) and Marasco (infectious diseases) in the area of infectious diseases research. The Hemberg group, formerly at the Wellcome Sanger Institute (https://www.sanger.ac.uk/group/hemberg-group/) has recently relocated to the Evergrande Center for Immunological Diseases (https://evergrande.hms.harvard.edu/home) at the Department of Neurology at Brigham and Women’s Hospital and the Department of Immunology at Harvard Medical School in Boston. This location offers unique opportunities in terms of scientific collaborations in a highly dynamic and interdisciplinary environment.

The Marasco lab at Dana-Farber Cancer Institute (www.marascolab.org) is leading the bench work on two related research projects to understand the human antibody response to emerging pathogens. Importantly, the Hemberg and Marasco labs are located within short walking distance from each other. We have recently initiated a collaboration related to the use of single-cell RNA-seq to understand human B cells and antibody responses to influenza and COVID vaccines. The funding available is for an initial appointment over three years and the starting date is flexible.

Requirements:

  • The candidate will be expected to carry out research (both independently and as part of a team), participate in group discussions, and write research proposals and manuscripts.
  • Successful candidates should demonstrate a track record of research achievements and have excellent communication skills.

Qualifications:

  • Those with a background in related areas such as computer science, physics, chemistry, statistics and mathematics a plus.
  • The successful candidate will have strong quantitative skills, and a good knowledge of R, python and/or other programming languages.
  • Background knowledge in immunology, genomics and molecular biology is desirable, but not required.

Please apply with a cover letter outlining research interests and a CV.

To learn more and to apply, please visit: https://careers.dana-farber.org/researchfellow_marascolab_

About Dana-Farber Cancer Institute:
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong.  As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff.  Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

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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