Title: Bioinformatics Data Scientist Analyst Duration: 12 months, likely extension Location: Remote - must be able to work during Pacific time zone
Description 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.
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.
Educational Background: Minimum of a Bachelor's degree in Bioinformatics, Data Sciences, Computational Biology, Computer Science, Molecular Biology, or a related field.
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 65.00/daily.
