Sr Data Scientist

Responsiblties:

• Utilize creative and innovative thinking with a focus on novel approaches to solve computational and analytic challenges related to health outcomes.
• Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to clinically relevant problems to improve health outcomes and healthcare operations.
• Works collaboratively and contributes intellectually to a team of physicians, mathematicians, and programmers working to apply complex analytic methods to clinically relevant problems related to optimizing patient care.
• Uses software such as Python, R, SQL, Hadoop and others to code deep learning / computational intelligence applications.
• Participate in model validation and verification efforts for models built by other Data Scientists.
• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
• Draft and review manuscripts for high impact publications, as required.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.