Postdoctoral Associate - Chun Lab

Sanford Burnham Prebys Medical Discovery Institute

La Jolla, CA

Job posting number: #7118582 (Ref:spd-2319083)

Posted: December 19, 2022

Application Deadline: Open Until Filled

Job Description

A Postdoctoral Associate position is available in Dr. Jerold Chun’s lab at the Sanford Burnham Prebys.  The focus of this position will be on bioinformatic approaches to understanding mosaic neural genomes – RNA and DNA – in single cells of the brain.  The position will be central to several teams in the lab that require bioinformatics and will interface with current bioinformatics personnel. 


Duties and Responsibilities:

  • Analyze next generation sequencing (NGS, short-read) and especially third generation sequencing (long-read) datasets (genomic and transcriptomic)
  • Fluent in R and Python
  • Develop new informatic approaches and pipelines in coordination with other researchers in the lab
  • Help to maintain and update existing informatics pipelines and lab Github repository
  • Manage and organize large sequencing datasets produced by the lab


Education and/or Experience:


  • Ph.D. in Biomedical Sciences field with an emphasis on bioinformatics, Ph.D. in Bioinformatics, or Ph.D. with relevant experience in Bioinformatics
  • Mastery of command line operations and Linux/Unix operating environments
  • Familiarity with high performance computing cluster-based analysis
  • Fluency with coding in python, R, and similar languages
  • Experience customizing pipelines, algorithms, and quality control metrics for data analysis
  • Attention to detail with accuracy
  • Ability to communicate effectively in English and to work in a fast-paced environment
  • Good social skills


Other Knowledge, Skills and/or Abilities:


  • Knowledge of next generation sequencing toolsets (fastqc, STAR, bwa, samtools, GATK, etc.)
  • Familiarity with NCBI, UCSC Genome browser, Integrated Genomics Viewer
  • Experience with long-read sequencing (Pacific Biosciences and Oxford Nanopore Technologies) and analysis

Experience with single-cell sequencing (10x Genomics) and analysis

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