Position Details

This will be a full-time contract position for an initial period of 1 year, with the possibility of extension. This position is 100% remote but candidate must workas per PST timezone hours.

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.

Hourly Pay Rate Range (dependent on location, experience, expectation)

The pay range that Magnit reasonably expects to pay for this position is: $53.57 -  $71.43/hr

Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met)