Neuro Genomics Bioinformatics Analyst — Big-Data Neurology

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

Benefits offered by this job

Vacation & holidays

Health insurance

Metro U-Pass

Retirement plan (403(b))

Job summary

Washington University in St. Louis, Department of Neurology, seeks a Bioinformatics Research Analyst to join the NeuroGenomics and Informatics Center (NGI).

This role suits someone with a completed Master’s degree who wants to apply bioinformatics to biomedical research, handling big-data projects that integrate genetics, multi-omics, clinical and histopathology data to better understand Alzheimer’s disease and related dementias.

Qualifications

• Education: Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• Certifications: No specific certification/professional license required.
• Work Experience: Relevant Experience (2 Years).
• Skills: Not Applicable.

Responsibilities

• Implements: Algorithms and computer software for analyzing omics-based data sets; Data management and analysis solutions for large data sets.
• Coordinates research project with other investigators and institutions.
• Participates in developing hypotheses and experimental design.
• Assists with reporting of methods, data and results.

Skills

Alzheimer’s Disease

Analytical Thinking

Bioinformatics Tools

Communication

Complex Data Analysis

Computational Biology

Functional Genomics

Gene Expression Microarray

Genome Sequencing

Group Problem Solving

Human Genetics

Java Programming

MATLAB

Model Organism

Python Programming

Education

Bachelor’s degree

Master’s degree

Job description

Washington University in St. Louis, Department of Neurology, seeks a Bioinformatics Research Analyst to join the NeuroGenomics and Informatics Center (NGI).

This role suits someone with a completed Master’s degree who wants to apply bioinformatics to biomedical research, handling big-data projects that integrate genetics, multi-omics, clinical and histopathology data to better understand Alzheimer’s disease and related dementias.