Novant Health Remote
intern team health data science data science ai outpatient informatics machine learning remote usa sc

The desired candidate can sit in either Charlotte, NC or Winston-Salem, NC or remote from 14 states in USA (AL, DE, FL, GA. IN, LA, MI, MS, NV, NC, OK, SC, VA, WY).

Novant Health is inviting application to an internship position in its Data Science and AI group. As part of the team, you will use big data + AI to advance our understanding of disease and patient care, and to solve real world problems in medicine and healthcare. The intern may be considered for full time employment if excellent performance/potential is exhibited.

Novant Health is a four-state integrated system of outpatient centers and hospitals. Its network consists of more than 1,600 physicians and 29,000 employees at more than 640 locations, including 15 medical centers and hundreds of outpatient facilities and physician clinics.

  • Education:Master's or PhD graduate or its candidacy in Data Science, Health Informatics, Biomedical Informatics, Statistics/Biostatistics, Computer Science, Math or related fields.
  • Experience: Hands-on experience in designing, developing, and deploying machine learning models; motivated to learn and work in data science and AI.
  • Additional Skills (required):Proficiency with Python, R, SQL, Unix/Linux shell, Git; Hands-on experiences in large datasets, e.g. clinical, biomedical, image, text or sensor data; Deep understanding of machine learning and deep learning methods and frameworks (Tensorflow, Keras, Pytorch, etc).

It is the responsibility of every Novant Health team member to deliver the most remarkable patient experience in every dimension, every time.

  • Our team members are part of an environment that fosters team work, team member engagement and community involvement.
  • The successful team member has a commitment to leveraging diversity and inclusion in support of quality care.
  • All Novant Health team members are responsible for fostering a safe patient environment driven by the principles of "First Do No Harm".

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