Bioinformatics Data Analyst - Virome & NGS (Entry)

University of California, Los Angeles

Los Angeles (CA)

On-site

USD 65,000 - 90,000

Full time

3 days ago
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Job summary

UCLA School of Dentistry in Los Angeles is seeking a Data Research Analyst 1 to assist with bioinformatics analysis of virome sequencing data under the supervision of the PI and senior staff. The role involves managing and analyzing NGS data and maintaining associated databases with meticulous record-keeping.

The ideal candidate will have experience with bioinformatic tools (R, Python) and strong data management skills, plus the ability to communicate results effectively within a research team.

Qualifications

  • Experience with basic bioinformatic analysis (DNA/RNA sequencing).
  • Experience with bioinformatic frameworks (R, Python).
  • Ability to perform statistical analyses of molecular data.
  • Expertise in sequence and metadata organization.
  • Ability to communicate results clearly in a research setting.

Responsibilities

  • Assist with bioinformatics analysis of virome sequencing data.
  • Manage and analyze next-generation sequencing (NGS) data.
  • Maintain clinical and specimen metadata through REDCap and public repositories.
  • Provide data management and analytical support for ongoing research projects.
  • Maintain accurate research records and contribute to data analyses.

Skills

Bioinformatics
Statistics
Data management
Programming (R/Python)
Team collaboration

Education

Bachelor's Degree in Life Sciences/Biostatistics

Tools

REDCap
Microsoft Office

Job description

UCLA School of Dentistry in Los Angeles is seeking a Data Research Analyst 1 to assist with bioinformatics analysis of virome sequencing data under the supervision of the PI and senior staff. The role involves managing and analyzing NGS data and maintaining associated databases with meticulous record-keeping.

The ideal candidate will have experience with bioinformatic tools (R, Python) and strong data management skills, plus the ability to communicate results effectively within a research team.

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