Bioinformatics Research Technician, Genomics

Washington University in St. Louis; United States; On-site; USD 23,000 - 40,000; Full time

Job summary

Washington University in St. Louis is seeking a Bioinformatics Research Assistant to work on rare disease projects, analyzing whole genome/exome sequencing and RNA sequencing data.

You will run pipelines on an HPC cluster and help identify genomic variants with clinical relevance. The role involves collaborating with geneticists, clinicians, and bioinformaticians, managing large datasets, and contributing to reports and manuscripts.

Qualifications

• Bachelor's degree or combination of education and/or experience may substitute for minimum education.
• No specific certification/professional license required for this position.
• No specific work experience required for this position.
• Skills: Not Applicable

Responsibilities

• Run computational bioinformatics pipelines on a local high-performance computing cluster to analyze genomic datasets.
• Conduct variant analysis and curation, helping to identify genomic variants underlying rare disease.
• Maintain and manage large datasets, including data storage and data transfer of genomic data.
• Contribute to developing and refining computational workflows to improve the efficiency and accuracy of genomic data processing and analysis.
• Work closely with a multidisciplinary team of geneticists, bioinformaticians, and clinicians to communicate findings and interpret results within the context of rare disease research.
• Assist in preparing project reports, presentations, and manuscripts as needed.
• Performs other duties as assigned.

Skills

Bioinformatics

Python

R Programming

Linux

Data analysis

Education

Bachelor's degree

Tools

Bash

Genomics tools

Job description

Washington University in St. Louis is seeking a Bioinformatics Research Assistant to work on rare disease projects, analyzing whole genome/exome sequencing and RNA sequencing data.

You will run pipelines on an HPC cluster and help identify genomic variants with clinical relevance. The role involves collaborating with geneticists, clinicians, and bioinformaticians, managing large datasets, and contributing to reports and manuscripts.