Bioinformatics Scientist - Radiation Oncology

Washington University in St. Louis • Park, KS

2d • Onsite

About The Position

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.

Requirements

• Bachelor's degree
• Research (4 Years)

Nice To Haves

• 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.

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.

Benefits

• Up to 22 days of vacation, 10 recognized holidays, and sick time.
• Competitive health insurance packages with priority appointments and lower copays/coinsurance.
• Take advantage of our free Metro transit U-Pass for eligible employees.
• WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.
• Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!
• We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.
• WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level