Genomics Data Analyst - Rare-Disease Bioinformatics

Washington University in St. Louis; Watervliet Township (MI); On-site; USD 29,000 - 50,000; Full time

Benefits offered by this job

Vacation & holidays

Health insurance

Transit benefits

Tuition assistance

Job summary

Washington University in St. Louis is seeking a Bioinformatics Research Analyst to work on large genomic datasets from whole genome and exome sequencing, RNA sequencing, and epigenomics data.

The role involves designing and executing bioinformatics workflows, and collaborating with a multidisciplinary team on rare disease projects. The position focuses on variant discovery, data management, and evaluating new computational methods while supporting reports and manuscripts.

Qualifications

• Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• Relevant Experience (2 Years)
• No specific certification/professional license is required for this position.

Responsibilities

• Implements, manages, and runs computational bioinformatics pipelines on a local HPC cluster to analyze genomic datasets.
• 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.
• Conduct variant analysis and curation, helping to identify genomic variants underlying rare disease.
• Work closely with a multidisciplinary team 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

Genomic analysis

Variant calling

Nextflow

HPC workflows

RNA-Seq

Education

Bachelor’s degree

Master’s degree (preferred)

Tools

R

Python

Linux

Job description

Washington University in St. Louis is seeking a Bioinformatics Research Analyst to work on large genomic datasets from whole genome and exome sequencing, RNA sequencing, and epigenomics data.

The role involves designing and executing bioinformatics workflows, and collaborating with a multidisciplinary team on rare disease projects. The position focuses on variant discovery, data management, and evaluating new computational methods while supporting reports and manuscripts.