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 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.
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.Preferred: Prior peer-reviewed publications in PubMed-indexed journals including first and last authorship positions. Experience publishing in top tier journals such as Pediatrics, Journal of Pediatrics, The Lancet journals, Nature journals, and other top 10 journals in pediatrics or medicine in general. Experience deploying statistical learning algorithms in the electronic medical records of patients or similar experiences outside of medicine.
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
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