Research Data Scientist NLP, Grants

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.

Job Summary

The Research Computational Scientist is a grant-funded position to support computational and data science research projects. This requires a multidisciplinary training in the computational and data sciences including statistics, computer science, and artificial intelligence. The role will support grant-funded research on the development and innovative application of computational and data sciences, advanced simulation, data analyses, visual analytics, or other computational techniques to research problems. Daily tasks include working closely with and under the supervision of the Manager, Computational Research, and other members of the Computational Research team to support providers and other researchers and other associates to develop computational solutions required to support specific grants and related computational and data science applications. 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 $45.72 Midpoint $60.58 Maximum $75.43

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 experience (including undergraduate research and internship positions). 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. Must have participated in research during academic training, internships, or prior job experience that resulted in one or more peer-reviewed publications. Also 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++.

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

Education

Required: Bachelor’s degree in the computational and data sciences including statistics, artificial intelligence, biostatistics, bioinformatics, and statistical genetics.

Preferred: Master’s degree 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: Knowledgeable in at least 5 of the following: R Statistical Programming Language, SPSS, SAS, Python, C/C++, and SQL, TensorFlow, Keras, PyTorch, and Apache Spark and Hive. 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, Casual Inference or Bayesian Statistics is preferred.

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. CHOC will consider for employment qualified applicants with criminal histories, in accordance with the Fair Chance Initiative for Hiring.

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.