Bioinformatics Research Analyst, Brain Genomics

Washington University in St. Louis; St. Louis (MO); On-site; USD 42,000 - 76,000; Full time

Benefits offered by this job

Vacation & holidays

Health insurance

Metro transit U-Pass

Tuition assistance

Caregiver leave

Job summary

Washington University in St. Louis is seeking a Researcher for the Dougherty Lab to lead analysis and interpretation of extensive transcriptomic datasets in psychiatric genetics. You will develop and apply computational methods, mentor lab members, and present research findings.

The role emphasizes dry-lab and wet-lab integration, training in genomics analyses, and collaboration with in-house and external teams. Strong programming and communication skills are essential.

Qualifications

• Bachelor's degree required or equivalent experience.
• Experience with genomics data analysis and statistical methods.
• Strong programming skills in R and/or Python.
• Experience with HPC and Linux environments.
• Ability to communicate results clearly and work in a team.

Responsibilities

• Implements algorithms for omics data analysis.
• Visualizes results from diverse experiments.
• Manages data storage/analysis pipelines for large datasets.
• Coordinates project work with investigators and institutions.
• Participates in hypothesis development and experimental design.
• Develops software to assist data collection and teaches concepts to lab members.
• Provides guidance and troubleshooting for software use.
• Assists with reporting methods and results.

Skills

R and/or Python

Statistical analysis

Data visualization

Computational biology

Team collaboration

Education

Bachelor's degree

Bachelor's or Master's in bioinformatics/genomics/data science

Tools

Nextflow

Snakemake

SLURM/LSF HPC

Docker/Singularity

Git/GitHub

Conda

RNA-seq tools (DESeq2/EdgeR/limma)

Seurat/scanpy

Job description

Washington University in St. Louis is seeking a Researcher for the Dougherty Lab to lead analysis and interpretation of extensive transcriptomic datasets in psychiatric genetics. You will develop and apply computational methods, mentor lab members, and present research findings.

The role emphasizes dry-lab and wet-lab integration, training in genomics analyses, and collaboration with in-house and external teams. Strong programming and communication skills are essential.