Data Science interns will work to extract insight from complex clinical, translational and real-world data. They will have the opportunity to work on complex data science problems including modeling techniques to interpret, infer and recommend based on insights from data.
·Formulates, implements, tests, and validates predictive models and implements efficient automated processes for producing modeling results at scale.
·Creates robust models based on statistical and data mining techniques to provide insights and recommendations based on large complex data sets.
·Presents stories told by data in a visually appealing and easy to understand manner.
Qualifications & Experience
·Currently in a quantitative sciences PhD or post-doctoral program (Computer Science, Math, Computational Biology, etc.)
·Demonstrated passion for healthcare
·Strong knowledge of programing languages, with a focus on machine learning (Python, Spark, R, Tensorflow, Sagemaker, etc)
·Proven data driven problem solving capabilities using AI/ML approaches
·Experience with longitudinal real-world patient data analysis
·Experience in using deep learning-based algorithms in one of the following areas – image analysis, clinical NLP, physiological waveforms, genomic or clinical data
Good communication and presentation skills