Description
The Department of Radiation Oncology at Washington University is seeking an experienced Bioinformatics Scientist to support Wash U's newly established 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 the Cancer Biology Division of Radiation Oncology. The Cancer Biology Division is a diverse group of clinical, physics, 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.
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.
Other Functions
- 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.
Required Qualifications
- Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; OR
- Master’s degree in computer science, bioinformatics, biostatistics, OR
- Related field plus two years of experience; OR combined education and experience of nine years.
Preferred Qualifications
- Master’s degree or Doctor of Philosophy in computer science or related field.
- Experience analyzing large cancer-related single-cell sequencing datasets. Experience analyzing exome sequencing.
- Experience collaboratively developing and implementing bioinformatics pipelines (ideally in Snakemake).
- Experience with metabolomics or spectrometry-based proteomics.
- Familiarity executing bioinformatics pipelines in local UNIX/Linux environments and cluster execution (LSF).
- Proficiency in scientific programming languages including Python and R.
