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RESEARCH DATA COORDINATOR, Center for Regenerative Medicine

Boston University
Boston, MA Full Time
POSTED ON 2/8/2025
AVAILABLE BEFORE 3/9/2025
Category

Boston University Medical Campus --> Research

Job Location

BOSTON, MA, United States

Tracking Code

25500841330206

Posted Date

2/7/2025

Salary Grade

Grade 44

Position Type

Full-Time/Regular

The Bioinformatics Research Data Coordinator will apply coding skills to analyze and solve fundamental problems of tissue regeneration, identify meaningful patterns in large sets of single-cell data, to understand the genetic disorders and identify potential therapeutics for the same. The assistant will work on analyzing large data sets and provide computational support as part of the bioinformatics core within the Center for Regenerative Medicine.

Are You

  • Graduating in bioinformatics, statistics, CS or physics?
  • Interested in working as a computational analyst with world-class scientists?
  • Seeking on-the-job training alongside a senior bioinformatician?
  • Intrigued about applying your coding skills to analyses that will solve fundamental problems of tissue regeneration, address meaningful biological questions in large sets of single cell data, and revolutionize the way we treat genetic disorders?

Duties

  • Supervised by CReM Bioinformatician, assist with data processing pipelines in our High-Performance Computing Cluster
  • With guidance from supervisor, help with data analysis on genomics and transcriptomics experiment.
  • In collaboration with supervisor, will explore tools for data visualization focused on enabling user interaction
  • Keep up with the relevant literature
  • Communicate and share insights with bioinformatic and wet-lab scientists
  • Meet the supervisor to receive instructions, learn techniques and be mentored in this field.

Required Skills

Candidate requirements:

  • Bachelor's degree in a relevant field, 1-3 years of experience.
  • Experience with R, Python and Linux programming language
  • Be passionate about research aimed at improving human health
  • Be collaborative and embrace open science

Preferred

  • Experience with single cell data
  • Familiarity with RShiny and SnakeMake

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.

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