"Bioinformatics Scientist - Radiation Oncology"

Position Summary

The Department of Radiation Oncology at Washington University is seeking an experienced Bioinformatics Scientist to support Wash U's Radiation Oncology-Biology Integration Network (ROBIN) Center. This cross-disciplinary center aims to integrate genomics, proteomics, metabolomics, and radiomics to understand the impact of radiation treatment on the tumor microenvironment in cervical and pancreatic cancer. The Bioinformatics Scientist position will be based in Radiation Oncology in the Schwarz Lab but will work collaboratively with both the Ben Major and Jin Zhang Groups. We are a diverse group of clinical, physics, biology and computational science investigators who collaborate to answer fundamental questions about radiotherapy efficacy and cancer biology. The ideal candidate will have broad experience interpreting sequencing data from large cancer-related datasets and be local to the St. Louis area to facilitate in person meetings throughout the week with a large research team.

Job Description

Primary Duties & Responsibilities:

• Designs, develops, and implements:
• Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]
• Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
• Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data.
• Performs complex systems analysis of data and writes interpretative reports.
• Evaluates commercial and academic bioinformatics software.
• Trains other researchers on the everyday use of analysis software and research databases.
• Assists with grant preparation and reporting of methods, data, and results.
• Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods.

Working Conditions:

• Job Location/Working Conditions: Normal Office Environment
• Physical Effort: Typically Sitting at a desk or table
• Equipment: Office Equipment

Required Qualifications

• Education: Bachelor's degree
• Work Experience: Research (4 Years)

Preferred Qualifications

• Master’s degree or PhD in statistics, bioinformatics, computational biology, or related field.
• Experience analyzing large cancer-related single-cell/nucleus sequencing datasets, including custom subclustering, cell annotations as well as the ability to do integrated analysis with ATACSeq data.
• Experience analyzing exome and Bulk RNA sequencing.
• Experience collaboratively developing and implementing bioinformatics pipelines.
• Experience with metabolomics or spectrometry-based proteomics.
• Experience with spatial data analysis including multiplex IHC and CODEX.
• Familiarity executing bioinformatics pipelines in local UNIX/Linux environments and cluster execution (LSF).
• Proficiency in scientific programming languages including Python and R.
• Willingness to learn new platform, perform and trouble shoot new integrative analysis across platforms, and work with a large multi-disciplinary research team.
• Excellent communication, organizational and project management skills.

Salary Range

$55,200.00 - $100,000.00 / Annually

Scheduled Hours

40