Part-Time Bioinformatics Research Assistant — Cancer Omics

Washington University in St. Louis; St. Louis (MO); On-site; USD 24,000 - 40,000; Part time

Job summary

Washington University in St. Louis in St. Louis, MO is seeking a Bioinformatics Research Assistant to support hematological malignancies and breast cancer research in the Silva-Fisher RNA Cancer Biology lab.

The role includes computing data analyses, documentation, and method reporting in a part-time, 6-month position with potential continuation to a full-time 40-hour week staff role. The candidate will work with omics datasets, develop new algorithms, and ensure thorough data reporting under

Qualifications

• Bachelor's degree or combination of education and/or experience may substitute for minimum education.
• No specific certification/professional license is required for this position.
• No specific work experience is required for this position.

Responsibilities

• Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets, data management and analysis solutions that assist in storage, investigation and dissemination of large data sets.
• Works with research team to develop new algorithms to support studies.
• Assists with reporting of methods, data and results.

Skills

Analytical thinking

Bioinformatics

Bioinformatics tools

Biostatistics

Communication

Complex data analysis

Computational biology

Computer science

Critical reasoning

Data management

Data reporting

Datasets

Genomics research

Human genetics

Microarrays

Model organism

Problem solving

Sequence analysis

Education

Bachelor's degree

Job description

Washington University in St. Louis in St. Louis, MO is seeking a Bioinformatics Research Assistant to support hematological malignancies and breast cancer research in the Silva-Fisher RNA Cancer Biology lab.

The role includes computing data analyses, documentation, and method reporting in a part-time, 6-month position with potential continuation to a full-time 40-hour week staff role. The candidate will work with omics datasets, develop new algorithms, and ensure thorough data reporting under