Bioinformaticist, Medical Oncology — Genomics & Data Analysis

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

Benefits offered by this job

Vacation & holidays

Health insurance

Transit benefits

403(b) retirement plan

Wellness programs

Family care leave

Tuition assistance

Job summary

Washington University in St. Louis seeks a research associate to assist in developing and conducting bioinformatics projects. You will design experiments, analyze complex datasets, and document results, collaborating with researchers across departments.

The role involves training staff on software, evaluating tools, and contributing to grant reporting while maintaining data quality and reproducibility in a dynamic university setting.

Qualifications

• Bachelor's degree
• No specific certification/professional license is required for this position.
• Research (4 Years)
• Driver’s License: A driver's license is not required for this position.

Responsibilities

• Designs, develops, and implements algorithms and software for omics-based data sets (high-throughput, massively parallel genomic/proteomic/clinical).
• Develops data management and analysis solutions for large data sets.
• Leads independent research projects and designs research protocols.
• Performs complex systems analysis of data and writes interpretative reports.
• Evaluates commercial and academic bioinformatics software.
• Trains researchers on analysis software and databases.
• Assists with grant preparation and reporting of methods, data, and results.

Skills

Analytical Thinking

Big Data Processing

Bioinformatics Tools

Computational Biology

Python

Java

Perl

Statistics

Education

Bachelor's degree

Master’s degree

Ph.D. - Doctor of Philosophy

Tools

Java

Perl

Python

R

Job description

Washington University in St. Louis seeks a research associate to assist in developing and conducting bioinformatics projects. You will design experiments, analyze complex datasets, and document results, collaborating with researchers across departments.

The role involves training staff on software, evaluating tools, and contributing to grant reporting while maintaining data quality and reproducibility in a dynamic university setting.