Manager, Computational Research, Computer Vision

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 Manager of Computational Research works closely with Research Computational Science (RCS) leadership to strategize and develop computational solutions to support research and implementation of research findings by providers, researchers, and other associates. Ensures proper communication of the computational science needs of the organization and assists RCS leadership in the development of computational strategies to meet the needs. Requires a hands-on approach in the application of computational approaches for data analyses and prediction of events of interest. Provides direct support to CHOC Research and other departments and groups in the organization interested in research or process improvement that can be fostered through computational reasoning. Assists RI leadership in the development of computational solutions encompassing new algorithms, improvement of existing algorithms, and analysis of data from the electronic medical records of patients. Supports a collaborative environment required to attract, motivate, train, retain, and develop computational scientists in pediatric medicine. Provides mentorship and technical guidance to junior research computational scientists.

Pay Range

Minimum $147,514 Midpoint $195,458 Maximum $243,402

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

We’re looking for a visionary leader who is excited about turning cutting-edge research into real improvements in pediatric care. This role is ideal for someone who enjoys working at the intersection of biomedical imaging, data, and AI/ML—and who believes great ideas should move from the bedside, to research, and back to the bedside.

In this role, you’ll partner closely with clinicians to identify important clinical questions, lead innovative research, and help translate discoveries into tools that make a real difference for children and families.

Responsibilities:

• Lead the design and deployment of computer vision models that fit naturally into radiology workflows.

• Set the vision and strategy for how AI/ML is applied in pediatric imaging and care.

• Stay hands-on with model development and contribute to high-impact research publications.

• Work closely with clinical, IT, and data science teams to build scalable AI solutions.

• Help turn research insights into practical tools that improve pediatric outcomes.

Ideal Candidate:

• Experience leading teams and building new programs or capabilities from the ground up.

• Strong technical background in computer vision, biomedical imaging, and AI/ML.

• A collaborative leader with high emotional intelligence who enjoys mentoring and inspiring others.

• A passion for translational research and creating solutions with real clinical impact.

If you’re excited about shaping the future of pediatric imaging and using AI to improve patient care, we’d love to hear from you.

Experience

Required: Minimum four years of experience in the computational and data sciences with a minimum of two year in a health system. Experience in 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, longitudinal data analyses, convolutional neural networks, and sequence models. Familiarity with 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 TensorFlow, Keras or PyTorch for time series and other sequence data prediction. 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.

Education

Required: Doctorate in the computational and data sciences including statistics, biostatistics, bioinformatics, and statistical genetics or similar.

Specialized Skills

Required: Ability to apply advanced statistical algorithms and computational methods in the analyses of medical data including generalized linear models across a wide range of statistical distributions, time series analyses, longitudinal data analysis, and analyses of unstructured data. Expected to be comfortable with the wide range of statistical learning algorithms and development of simulations for empirical statistical analyses using a statistical programming language or C/C++. At least 5 of the following: R Statistical Programming Language, SPSS, SAS, Python, C/C++, SQL, TensorFlow, Keras, PyTorch, and Apache Spark and Hive. Able to relate and communicate positively, effectively, and professionally with others in person and in writing, and on the telephone; think critically, work independently, manage multiple staff and assignments; lead, supervise, teach, and collaborate; accept direction; problem solve, prioritize workload, provide constructive feedback to subordinates, and work well under pressure.

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.