Research Computational Data Scientist II - Grant-funded

Research Computational Data Scientist II - Grant-funded

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.

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

Job Summary

Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.

The Research Computational Scientist (RCS) II will collaborate with providers, researchers, and other associates to provide computational services required for research and implementation of research findings.

This requires 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.

Responsibilities

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 the 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.

Work Location

Orange, California

Work Shift

Day 08hrs (United States of America)

Pay Range

Minimum $46.13 Midpoint $61.13 Maximum $76.13

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 five years of experience with a Master of Science degree, or entry-level experience with a Doctorate degree.

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, and longitudinal data analyses.

Familiarity with Machine-learning, Artificial Intelligence, Causal 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, 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.

Preferred : Prior peer-reviewed publications in PubMed-indexed journals include first or last authorship.

Education

Required : Master of Science (with 5 years of experience) or entry-level Doctorate in the computational and data sciences including statistics, artificial intelligence, biostatistics, bioinformatics, and statistical genetics.

Preferred : Doctorate in the computational and data sciences, artificial intelligence, 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 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, SPSS, SAS, Python, C / C++, SQL, TensorFlow, Keras, PyTorch, Apache Spark, and Hive.

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, Standing, Talk or hear, Taste or smell, Twisting, Walking.

Company Information

Penn Foster's mission is to enhance the lives of our students and clients through the acquisition of knowledge, skills, and credentials that can help them work toward their goals of advancing in their chosen field, starting a new career, or pursuing lifelong learning.

Company Specialties :

education, online learning, online education, online high school, online college, online career training, and online upskilling

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