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Bioinformatics Scientist - Radiation Oncology

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Washington University in St. Louis
Full Time position
Listed on 2026-03-12
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
  • Healthcare
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

Position Summary

Scheduled

Hours:

40

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

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Education &

Required Qualifications
  • Bachelor's degree

Certifications / Professional Licenses:
No specific certification/professional license is required for this position.

Work Experience:

Research (4 Years)

Skills:

Not Applicable

Driver's License: A driver's license is not required for this position.

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 sub clustering, 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 troubleshoot new integrative analysis across platforms, and work with a large multi-disciplinary research team.
  • Excellent communication, organizational and project management skills.
  • Master's degree, Ph.D.

    - Doctor of Philosophy
  • Certifications / Professional Licenses:
    No additional certification/professional licenses unless stated elsewhere in the job posting.
  • Work Experience:

    No additional work experience unless stated elsewhere in the job posting.
  • Skills:

    Analytical Thinking, Big Data Processing, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Critical Reasoning, Data Management,…
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