Data Scientist - Clinic

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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

About Us:

Cook Children's Health Care System

Cook Children's Health Care System offers a unique approach to caring for children because we are one of the country's leading integrated pediatric health care delivery organizations. Patients benefit from the integrated system because it allows Cook Children's to use all of its resources to treat a patient and allows for easy communication between the various companies by physicians with a focus on caring for children and adolescents.

Cook Children’s is an equal opportunity employer. As such, Cook Children’s offers equal employment opportunities without regard to race, color, religion, sex, age, national origin, physical or mental disability, pregnancy, protected veteran status, genetic information, or any other protected class in accordance with applicable federal laws. These opportunities include terms, conditions and privileges of employment, including but not limited to hiring, job placement, training, compensation, discipline, advancement and termination.