Research Computational Scientist, Neurosciences (Grant Funded)

Children's Hospital of Orange County • Orange, CA

32d • Onsite

About The Position

The Research Computational Scientist (RCS) I will collaborate with providers, researchers, and other associates to provide computational services required for research and implementation of research findings. This requires a multidisciplinary training in the computational and data sciences including statistics, computer science, and artificial intelligence. The role will support the development and innovative application of advanced simulation, data analyses, visual analytics, or other computational techniques to research problems across the CHOC Health System. Daily tasks include working closely with providers, researchers, and other associates to develop or deploy computational solutions required for improving knowledge, the health of patients, and the financial health of the organization. These computational solutions will include development of new algorithms, improvement of existing algorithms, and analyses of data from the electronic medical records of patients. Data sources will span not just the electronic medical records but other sources of data relevant to research and organizational growth. The goal is the development of deeper understanding, insight, and prediction of events that may foster the health of children and the health of the care system as well.

Requirements

• Multidisciplinary training in computational and data sciences including statistics, computer science, and artificial intelligence.
• Experience with high-level programming languages such as SAS, R Statistical Programming Language, SPSS, C/C++, and Python.
• Experience with SQL programming and data preprocessing for research studies.
• Previous participation in research during academic training, internships, or prior job experience.
• Comfortable with hypothesis testing, statistical distributions, and cross-sectional regression analyses of continuous and binary outcomes.
• At least 3 of the following: R Statistical Programming Language, SPSS, SAS, Python, C/C++, and SQL.
• Previous (paid or unpaid) work within a research group in college or other institutions.

Nice To Haves

• Deep expertise in fMRI analysis, neuroimaging workflows, and multimodal data integration, with experience working across structural MRI, diffusion MRI, and EEG/qEEG datasets.
• Experience with machine learning or deep learning methods for biomedical imaging, including image segmentation.
• Prior peer-reviewed publications in PubMed-indexed journals.
• Master of Science in the computational and data sciences, statistics, biostatistics, bioinformatics, and statistical genetics.

Responsibilities

• Collaborate with providers, researchers, and other associates to provide computational services required for research and implementation of research findings.
• Support the development and innovative application of advanced simulation, data analyses, visual analytics, or other computational techniques to research problems across the CHOC Health System.
• Develop or deploy computational solutions required for improving knowledge, the health of patients, and the financial health of the organization.
• Develop new algorithms, improve existing algorithms, and analyze data from electronic medical records and other relevant sources.
• Develop deeper understanding, insight, and prediction of events that may foster the health of children and the health of the care system.

Benefits

• CHOC’s compensation structure, benefits offerings, and career development programs are geared to helping you achieve your professional and personal goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level