Bioinformatics Research Assistant - Rare Diseases Genomics

Washington University in St. Louis; St. Louis, Northern (MO, KY); Hybrid; USD 23,000 - 40,000; Full time

Benefits offered by this job

Up to 22 days vacation

Health insurance

Metro U-Pass

Job summary

Washington University in St. Louis invites applications for a Bioinformatics Research Assistant in Pediatrics Newborn Medicine to work on genomic datasets including whole genome and exome sequencing, short- and long-read RNA sequencing, long-read genome sequencing, and epigenomics data.

You will support the execution of bioinformatics workflows and pipelines, perform variant analysis and prioritization, manage storage and transfers of large datasets, and assist in evaluating new computational

Qualifications

• Bachelor’s degree in bioinformatics, biology or computational biology.
• No specific work experience required; 1 year preferred.
• Strong analytical and problem-solving skills.
• Experience with genomic data analysis is desirable.

Responsibilities

• Run computational bioinformatics pipelines on a HPC cluster to analyze genomic datasets.
• Perform variant analysis and prioritization for rare disease research.
• Maintain and manage large datasets, including storage and transfers.
• Collaborate with geneticists, bioinformaticians and clinicians to interpret results.
• Prepare project reports, presentations and manuscripts as needed.

Skills

Genomics data analysis

Variant analysis

RNA sequencing

High-performance computing

Data management

Python

R

Linux

Bash

Collaboration

Education

Bachelor’s degree in Bioinformatics/Computational Biology/Biology

Experience with rare diseases (preferred)

Tools

Python

R

Bash

Linux

Exome Sequencing

Genome Sequencing

Biostatistics

Computational Biology

Job description

Washington University in St. Louis invites applications for a Bioinformatics Research Assistant in Pediatrics Newborn Medicine to work on genomic datasets including whole genome and exome sequencing, short- and long-read RNA sequencing, long-read genome sequencing, and epigenomics data.

You will support the execution of bioinformatics workflows and pipelines, perform variant analysis and prioritization, manage storage and transfers of large datasets, and assist in evaluating new computational