Data Analyst I

Hello humankindness 

Located conveniently in the heart of Phoenix, Arizona, St. Joseph's Hospital and Medical Center is a 571-bed, not-for-profit hospital that provides a wide range of health, social and support services.  Founded in 1895 by the Sisters of Mercy, St. Joseph's was the first hospital in the Phoenix area. More than 125 years later, St. Joseph's remains dedicated to its mission of caring for the poor and underserved.

We are extremely proud to be a nationally recognized center for quality quaternary care, medical education and research. St. Joseph's includes the internationally renowned Barrow Neurological Institute, Norton Thoracic Institute, Cancer Center at St. Joseph's, Ivy Brain Tumor Center, and St. Joseph's Level I Trauma Center (which is verified by the American College of Surgeons). The hospital is also a respected center for high-risk obstetrics, neuro-rehabilitation, orthopedics, and other medical services. St. Joseph’s is considered a sought-after destination hospital for treating the most complex cases from throughout the world. Every day, approximately 20 percent of the hospital’s patients have traveled from outside of Arizona and the United States to seek treatment at St. Joseph’s.

U.S News & World Report routinely ranks St. Joseph's among the top hospitals in the United States for neurology and neurosurgery.  In addition, St. Joseph's boasts the Creighton University School of Medicine at St. Joseph's, and a strategic alliance with Phoenix Children's Hospital.

St. Joseph's is consistently named an outstanding place to work and one of Arizona's healthiest employers. Come grow your career with one of Arizona's Most Admired Companies.

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For the health of our community ... we are proud to be a tobacco-free campus.

Job Summary:

The Multimodal Imaging Genetics Lab is actively seeking candidates with a strong background in population genetics and bioinformatics. The ideal candidate will have experience analyzing genome-wide association studies (GWAS) other large-scale genetic datasets to uncover genetic architecture and mechanisms underlying complex diseases. The incumbent will exercise strong IT judgement, data quality and integrity management skills to accelerate computational workflows in genomics 

Job Responsibilities:

• Analyze and interpret large-scale genomics analysis, including GWAS, sequencing, and transcriptomic datasets, to identify genetic variants associated with complex diseases under the guidance of faculty mentor
• Contribute to the design and execution of genetic studies, including data harmonization and meta-analyses.
• Develop and implement statistical models and bioinformatics pipelines for genetic association studies and polygenic risk score analyses
• Responsible for ensuring and protecting data integrity at all times.
• Follows organizational policies and procedures around the extraction and delivery of data requests for research-based efforts.
• Provides analysis of data and systems, including functional and technical documentation.
• Assists in delivering tasks for improving workflow availability, security, compliance, and performance.
• Actively participates and/or implements data development activities such as system development, database development, and/or data standardization solutions.

Minimum:

Education and Experience:

• Ability to analyze and interpret large genetic data sets. Proven experience with GWAS data analysis, including familiarity with tools such as PLINK or BOLT-LMM.
• Familiarity with pathway-based analyses and polygenic risk scoring Understanding of Mendelian randomization and causal inference methods in genetics preferred
• Bachelors Degree in bioinformatics, human genetics, computational biology, biostatistics, or a related quantitative field or equivalent professional experience.
• Master’s degree in related field or equivalent professional experience preferred

Special Skills:

• Strong programming skills in R, Python, or similar languages for statistical analysis and data visualization.
• Experience working in Unix/Linux environments, including basic shell scripting preferred.