Research Scientist I

Where You’ll Work

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 and Responsibilities

The Multimodal Imaging Genetics Lab at Barrow Neuro Analytics Center is in search of a talented and motivated computational biologist to join our dynamic team. Our lab employs cutting-edge bioinformatics and machine learning, including deep learning, to understand brain aging and secondary injury mechanisms across cerebrovascular, neurodegenerative, and traumatic brain diseases. As a Bioinformatics Staff Scientist, you will be responsible for conducting and supervising analysis of large- scale, high-dimensional biological data from biobanks and longitudinal cohorts, and developing innovative computational methods to enhance understanding of cerebrovascular and Alzheimer’s disease interactions, and drive development of mechanism-based treatments for dementia. We seek a self-driven, innovative individual with strong analytical and problem-solving abilities, and exceptional communication skills.

Responsibilities:

Responsible for operational oversight and implementation of funded translational research program(s) in genomicsPlans and executes bioinformatics analysis on high-throughput genomics (including single cell) and proteomics data, integration and analysis of multi-omics dataParticipates in the development and application of computational algorithms and statistical models for data analysis and interpretation, and development of data analysis pipelines.Develops and establishes data analysis pipelinesServes as a liaison for the training of technical personnel in the translational program including post-doctoral fellows, graduate and undergraduate students

Job Requirements

Experience

Strong expertise in analyzing next- generation sequencing (NGS) data and multi-omics data integration.

Expertise and experience in large-scale genetics and -omics data analysis

Experience with statistical learning (supervised and unsupervised)Experience with bioinformatics tools and databases (e.g. Ensemble, UCSC Genome Browser)

At least (3) years or equivalent of research-related experience following

Ph.D degree

Ph.D in Genetics, Bioinformatics, Computational Biology, or a related field preferred

Special SkillsProficiency in programming with R, Unix/Linux, and/or Python.

Familiarity with single-cell RNA sequencing analysis.Working knowledge of machine learning (AI/ML) algorithms and their applications in bioinformatics