Oncology Bioinformatics Scientist: Genomics & Data

Washington University; Missouri; On-site; USD 55,000 - 100,000; Full time

Benefits offered by this job

Up to 22 days of vacation

10 holidays and sick time

Health insurance packages with low cop

Metro transit U-Pass

403(b) retirement plan

Tuition assistance for family

Caregiver leave

Job summary

Washington University in St. Louis seeks a Bioinformaticist for Medical Oncology to design and implement software for omics datasets, manage large-scale data, and perform sophisticated analyses.

You will contribute to independent research projects, develop procedures for data collection and verification, and help train researchers in analysis tools and databases. The role emphasizes collaboration with researchers, grant support, and optimization of testing methods within a busy medical oncology

Qualifications

• Bachelor's degree in a relevant field.
• 4 years of research experience.
• No specific certification or professional license required.
• Strong analytical and programming skills in bioinformatics.

Responsibilities

• Designs, develops, and implements algorithms and software for omics-based data sets.
• Manages data storage, investigation, and dissemination of large data sets.
• Performs complex data analyses and writes interpretive reports.
• Evaluates bioinformatics software and tools for research use.
• Trains researchers on analysis software and databases.
• Assists with grant preparation and reporting of methods and data.

Skills

Analytical Thinking

Big Data Processing

Bioinformatics Tools

Communication

Complex Data Analysis

Computational Biology

Critical Reasoning

Data Management

Discrete Mathematics

Group Problem Solving

Java

Perl Programming

Probabilistic Modeling

Python

Statistics

Education

Bachelor's degree

Master's degree

Ph.D.

Job description

Washington University in St. Louis seeks a Bioinformaticist for Medical Oncology to design and implement software for omics datasets, manage large-scale data, and perform sophisticated analyses.

You will contribute to independent research projects, develop procedures for data collection and verification, and help train researchers in analysis tools and databases. The role emphasizes collaboration with researchers, grant support, and optimization of testing methods within a busy medical oncology