University of Rochester Data Scientist - 219589 in Rochester, New York
Medical Faculty Group
Full Time 40 hours Grade 053 Health Lab
8 AM-5 PM
Assists Health Lab staff and collaborators in deriving knowledge from data. Responsible for exploring, obtaining, integrating, cleansing, visualizing, and modeling data. Performs data modeling using statistics, deep learning, and artificial intelligence techniques combined with domain research.
The data scientist will work closely with subject matter experts and with the engineering team to study and operationalize new healthcare interventions based on created data models.
Follows guidelines and directions given by the senior members of the team but has latitude for independent judgment and decision-making.
Works with senior members of the team for projects to work on, requirements, and priorities
Explores health literature and data sources to determine what data to target
Determines an approach for which analysis techniques will be useful for each project
Reviews the project plan with senior members before implementation begins
Keeps senior members and constituents updated on project status
Researches data structures and data entry workflows to find accurate data
Runs SQL queries to gather data from various sources and store it in a usable format
Integrates otherwise disparate data elements so that they can relate to one another
Assists with the creation of labeled data sets for future projects
Uses tools such as R or Python to perform data cleaning
Transforms data into the appropriate format to be used with the desired algorithms
Imputes data as necessary for fields with missing values
Adheres to established standards and policy around de-identification of protected data
Documents the process so that results are reproducible and can be re-run with new data
Uses tools such as R, Python, Azure ML, Caffe, TensorFlow, and/or Tableau to perform analyses
Uses statistics, clustering and data visualizations to find patterns in data
Works heavily with neural networks, natural language processing, and multimedia processing
Tries various models and evaluates the success or failure of each
Evaluates the effects of each data point on the overall model
Assists senior members with the implementation of successful data models
Performs dimensionality reduction to reduce the complexity of models while maintaining accuracy
Makes models accessible to the software engineering team so that they can be integrated into end-user workflows
Develops an action plan for how the model will continue to learn over time
Works with leadership and other team members to analyze the efficacy of the implementation
Education and Training
Formally presents findings to leadership, co-workers, and collaborators and teaches them how results were achieved
Stays up to date on advances in computer science, deep learning, and artificial intelligence and incorporates that knowledge in future projects
Bachelor's degree in related discipline such as Computer Science, Business, Mathematics, Statistics, Science or Engineering, and 2-3 years of related experience; or an equivalent combination of education and experience.
Familiarity with Python, R or other data analysis tools such as SAS, Matlab, or Mathematica.
Experience with machine learning, statistics, data mining, data analysis, and data visualization.
This position requires a laptop (supplied).
How To Apply
All applicants must apply online.
EOE Minorities/Females/Protected Veterans/Disabled