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Post Doctoral Associate
Job Number: 2021-38428
Category: Post Doc
Location: Worcester, MA
Shift: Day
Exempt/Non-Exempt: Exempt
Business Unit: UMass Chan Medical School
Department: School - Molecular Medicine - W400900
Job Type: Full-Time
Salary Grade: 86
Union Code: Non Union Position-W63-Residents/Post Docs
Num. Openings: 1
Post Date: March 10, 2023

A postdoctoral associate position is available in the Luzuriaga Lab for a highly motivated candidate with a PhD in immunology, virology, molecular biology, or a related discipline. The Luzuriaga Lab is embedded in the vibrant research environment of the Program in Molecular Medicine at the University of Massachusetts Chan Medical School and is highly collaborative with other labs within and external to UMass Chan.

The selected candidate will apply a combination of immunological assays to identify immune correlates of viral control or immune pathology over the course of primary EBV infection into convalescence, with the goal of informing and advancing EBV vaccine development.

This project provides an excellent opportunity to learn and further develop a variety of techniques. The selected candidate will work independently to design and execute experiments. Results of this project will be presented at seminars and scientific meetings, which may involve travel. The post-doctoral fellow will also prepare and submit manuscripts, and may assist with grant preparation.

Qualifications: Education, experience and skills required for consideration:

  • PhD. in immunology, virology or related disciplines
  • Strong work ethic, highly motivated to apply skills towards solving biological problems
  • Excellent analytical skills and independent judgement
  • Highly collegial; works well independently and as a team member
  • Strong written and verbal communication skills; ability to communicate with precision and tact
  • Meticulous recordkeeping, proficiency with databases
  • Experienced in assays to measure and characterize virus-specific T cells, highly preferred
  • Experience with bead-based or flow cytometric cell separation techniques highly preferred
  • Experience with bioinformatics and sequence analysis pipelines highly preferred

To Apply:

Applicants should submit the following materials by email to Cathy.Benoit@umassmed.edu : A letter describing past and current research and your specific interest in this position, a CV(including publications), and contact information for three references, one of which should be your Ph.D. advisor.

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