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Research Computational Scientist II

Job in Orange, Orange County, California, 92613, USA
Listing for: CHOC
Full Time position
Listed on 2026-07-13
Job specializations:
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 99819 USD Yearly USD 99819.00 YEAR
Job Description & How to Apply Below
## Research Computational Scientist IIApplylocations:
Main Campus - Orange time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
July 11, 2026 (1 day left to apply) job requisition :
R-32912
** Work Location
** Orange, California
** Work Shift
** Day – 08hrs (United States of America)
** Why CHOC?
** At CHOC, we strive to be the leading destination of children’s health by providing exceptional and innovative care. We are responsible for the overall health of our community’s pediatric population in our hospitals, clinics, and practices. And because of our breadth of care, your career at CHOC can be as diverse and fulfilling as you determine. CHOC’s compensation structure, benefits offerings, and career development programs are geared to helping you achieve your professional and personal goals.

Apply now to see where your career at CHOC can take you.
** Environmental Sustainability Statement
** Driven by the connection between children's health and a healthy environment, we commit to creating a healthcare model that incorporates environmental sustainability aligned with our mission to protect children's health and patient safety.
** Job Summary
** The Research Computational Scientists (RCS) II 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 statistical, machine-learning, and artificial intelligence 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.
** Pay Range
** Minimum $99,819 Midpoint $132,288 Maximum $164,736
* Rate of pay is determined by various factors, including but not limited to knowledge, skills, competencies, experience, education, as well as position requirements.
*** Experience
*
* Required:

Minimum two years of related work experience.. Experience should include the application of advanced statistical algorithms and computational and data science methods in the analyses of medical data including generalized linear models across a wide range of statistical distributions, time series analyses, and longitudinal data analyses.

Experience with SQL programming and data preprocessing for research studies are also required. Previous participation in research during academic training, internships, or prior job experience that resulted in one or more peer-reviewed publications is required.

Preferred:
Prior peer-reviewed publications in Pub Med-indexed journals include first or last authorship. Familiarity with Machine-learning, Artificial Intelligence, Casual Inference or Bayesian Statistics is also required through prior coursework, publications, or informal studies of these methods. Previous experience with high-level programming languages such as SAS, R Statistical Programming Language, SPSS, C/C++, Python, and Tensor Flow, Keras or PyTorch for time series and other sequence data prediction.
** Education
*
* Required:

Master of Science in the computational and data sciences including statistics, artificial intelligence, biostatistics, bioinformatics, and statistical genetics. A doctoral degree will count towards the two years of work experience required.

Preferred:
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