Data Scientist - Clinic

Cook Children's Health Care System

$90K — $120K *
Hospitals & Medical Centers
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience in healthcare data science
  • Master's degree in a relevant field such as computer science, statistics, or data science
  • Proficiency in interpreting genetic variants
  • Experience with AI and machine learning models
  • Deep research background in oncology or EMR data

Responsibilities

  • Develop analytical pipelines for genomic data
  • Conduct variant annotation and interpretation
  • Collaborate with healthcare professionals across subspecialties
  • Apply AI and machine learning to clinical cases
  • Drive innovation in precision medicine

Benefits

  • Involvement in cutting-edge research and innovation
  • Opportunity to collaborate with leading healthcare professionals
  • Impact on improving patient outcomes 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 Data Scientist is a key member within the Pediatric Precision Health Program, responsible for driving innovation through the intersection of technical expertise and academic contribution. The Data Scientist will develop robust analytical pipelines for genomic data, conduct meticulous variant annotation and interpretation, and collaborate closely with healthcare professionals and scientists across multiple clinical subspecialties. This role leverages a deep research background in oncology or EMR data to apply cutting-edge AI and machine learning models to the most challenging clinical cases. The Data Scientist is vital to driving the innovation and academic rigor necessary to advance the frontiers of precision medicine and improve outcomes for all patients.

Experience
  • 2+ years of relevant work experience in healthcare data science
  • Demonstrated proficiency in accessing and interpreting genetic variants


Education
  • Master's degree in computer science, statistics, biostatistics, mathematics, data science, or other relevant degree


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