Job Description
Job Summary
The Oncology Bioinformatics team in the Computational Biology and Translation Pillar of gRED
Computational Sciences (gCS) is seeking a highly motivated data scientist to support extraction,
interpretation, analysis, and workflow implementation of -omics datasets.
Qualifications:
Educational Background: Minimum of a Bachelor's degree in Bioinformatics, Data
Sciences, Computational Biology, Computer Science, Molecular Biology, or a related
field
Requirements:
Advanced Python Programming: Proficient in Python programming, particularly within
Linux-based High-Performance Computing (HPC) environments.
Expertise in Workflow Language: Strong knowledge of workflow languages such as
WDL, Nextflow, and/or Snakemake for automating and managing computational
workflows.
Version Control with Git: Experienced in tracking and managing code using Git for
version control.
Extensive Experience in Data Analysis: Proven ability to analyze complex datasets and
derive meaningful insights.
Proficiency in X-Omics Technologies: Familiarity with x-omics technologies and their
applications in data analysis.
Excellent Communication Skills: Ability to effectively communicate technical concepts
and results to both technical and non-technical audiences. Talent Software Services
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