Research Computational Scientist, Neurosciences (Grant Funded)

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 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.

Pay Range

Minimum $90,563 Midpoint $120,016 Maximum $149,427

Rate of pay is determined by various factors, including but not limited to knowledge, skills, competencies, experience, education, as well as position requirements.

The ideal candidate is an innovative and highly skilled research professional who brings deep expertise in fMRI analysis, neuroimaging workflows, and multimodal data integration, with experience working across structural MRI, diffusion MRI, and EEG/qEEG datasets.

 

This is an exciting opportunity for a scientist passionate about advancing neuroimaging and pediatric neuroscience through rigorous, high-impact research. The successful candidate will play a key role in generating new insights into brain development and neurological disorders through the analysis and integration of complex neuroimaging data in a collaborative, multidisciplinary setting. Experience with machine learning or deep learning methods for biomedical imaging, including image segmentation, is preferred but not required.

Experience

Required: Previous 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 are also required. Previous participation in research during academic training, internships, or prior job experience.

Preferred: Prior peer-reviewed publications in PubMed-indexed journals.

Education

Required: Bachelor of Science in the computational and data sciences, statistics, biostatistics, bioinformatics, and statistical genetics.

Preferred: Master of Science in the computational and data sciences, statistics, biostatistics, bioinformatics, and statistical genetics.

Training

Required: Previous (paid or unpaid) work within a research group in college or other institutions.

Specialized Skills

Required: Expected to be 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

Work Environments - Functional Demand:

Sedentary - Very light energy level Lift 10 lbs. box overhead. Lift and carry 15 lbs. Push/pull 20 lbs. cart.

Physical Activity Requirements:

Bending, Carry Objects, Climbing, Keyboard use/repetitive motion, Pinching/fine motor activities, Push/Pull, Reaching forward, Reaching overhead, Sitting, Squat/kneel/crawl (Squad & Knee), Standing, Talk or hear, Taste or smell, Twisting, Walking, Wrist position deviation

Physical Activity Lifting

Lifting (Floor to waist level) - Occasional 0-35%, Lifting (Waist level and above) - Occasional 0-35%

Sensory Requirements:

Color Discrimination, Depth Perception, Far Vision, Hearing, Near Vision

Environment Requirements:

Airborn Communicable Disease, Bloodborne Pathogens, Chemical, Dust Particular Matter, Extreme Noise Levels, Extreme Temperatures, Radiation, Uneven Surfaces or Elevations

Non-Discrimination Statement:

CHOC does not discriminate on the basis of age, race, color, religion, national origin, ancestry, marital status, genetic information, disability, sex, gender (including pregnancy, breastfeeding, childbirth, lactation or related medical conditions), gender identity or expression, medical condition, sexual orientation, veteran status, military or uniformed service member status, or other protected characteristics in accordance with state and federal laws.

We encourage individuals from all backgrounds to apply for positions at CHOC, even if your experience doesn’t align perfectly with the listed qualifications for a particular role, as your unique experience may be a great addition to our culture for another one of our opportunities.

If you desire support or accommodations throughout the Talent Acquisition process, please inform your Talent Acquisition Partner.