Neurology Bioinformaticist — Multi-Omics Data Scientist

UNKNOWN; United States; On-site; USD 55,000 - 100,000; Full time

Benefits offered by this job

Vacation & holidays

Health insurance

U-Pass transit benefit

Retirement plan

Caregiver leave

Tuition benefits

Job summary

Washington University in St. Louis seeks a computational biomedical researcher to advance aging and neurodegeneration studies. You will analyze multi-omics datasets (spatial proteomics, bulk and single-cell RNA, proteomics, epigenomics, WES/WGS) and develop scalable, reproducible workflows.

Collaborate with bioinformatics scientists, experimentalists, and external partners. The role emphasizes data quality control, normalization, integration, visualization, and interpretation, with opportunities

Qualifications

• Education: Bachelor’s degree
• Work Experience: 4 years of research experience
• Strong analytical and problem-solving skills
• Experience with Linux/Unix environments

Responsibilities

• Designs, develops, and implements algorithms and software for omics datasets
• Data management and analysis solutions for large data sets
• Independent research projects with study design and data management
• Develop publication-quality visualizations (heatmaps, PCA, networks)
• Perform data quality control, preprocessing, normalization, and artifact detection
• Analyze single-cell, spatial, bulk, proteomic, and genomic data
• Collaborate with wet-lab scientists, statisticians, and external collaborators
• Train researchers on analysis software and research databases

Skills

Bioinformatics

Statistical modeling

Data visualization

Big data processing

Communication

Collaboration

Education

Bachelor's degree

Tools

R

Python

Git

Linux

GATK

Job description

Washington University in St. Louis seeks a computational biomedical researcher to advance aging and neurodegeneration studies. You will analyze multi-omics datasets (spatial proteomics, bulk and single-cell RNA, proteomics, epigenomics, WES/WGS) and develop scalable, reproducible workflows.

Collaborate with bioinformatics scientists, experimentalists, and external partners. The role emphasizes data quality control, normalization, integration, visualization, and interpretation, with opportunities