Bioinformatician

Cook Children's Health Care System

$70K — $95K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years in genomic data processing or related analysis
  • Proficient in R and/or Python, SQL
  • Experienced in Linux/Unix environments
  • Knowledge of bioinformatics workflows
  • Master's degree in Bioinformatics or related field

Responsibilities

  • Develop and maintain analytical pipelines for genomic data
  • Perform variant annotation and interpretation
  • Build tools for clinical decision support
  • Advance data integration across various datasets
  • Collaborate with variant scientists, genetic counselors, and clinicians

Benefits

  • Work within a leading pediatric precision health program
  • Engage in cutting-edge research and AI-enabled workflows
  • Opportunity for collaboration across diverse teams
  • Supportive work environment focused on innovation in precision medicine
Full Job Description
Location:

Medical Center Office Building (901 7th Ave)

Department:

Pediatric Precision Health Program

Shift:
First Shift (United States of America)

Standard Weekly Hours:

40

Summary:

The Bioinformatician will support the Cook Children's precision health and precision medicine research ecosystem by developing and maintaining analytical pipelines for genomic data, performing variant annotation and interpretation, building tools for clinical decision support, and advancing data integration across genomics, clinical phenotypes, and functional datasets. This role supports precision clinics, genome-informed care, research, and AI-enabled clinical workflows. This position will collaborate closely with Cook Children's variant scientists, genetic counselors, clinicians, data scientists, and computational teams.

Experience
  • 2 years experience in genomic data processing, variant annotation, or large-scale data analysis
  • Demonstrated proficiency in R and/or Python, SQL, Linux/Unix environments, and common bioinformatics workflows


Education
  • Master's degree in Bioinformatics, Computational Biology, Genetics, Data Science, Computer Science, or related field


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