Note: The job is a remote job and is open to candidates in USA. The UW School of Medicine and Public Health is looking for a Data Scientist I to join the Wisconsin Reading Center and A-EYE unit. This role involves participating in data analytics in health sciences, focusing on ophthalmology, and collaborating with researchers to develop predictive models for ocular diseases.
Responsibilities
- Develop reproducible workflows, analyses, dashboards, and reports to support research and operational decision-making
- Document analytical methods and maintain reproducible research workflows and standards
- Apply statistical analysis, machine learning, AI, and data mining techniques to identify patterns, answer research questions, and solve operational problems
- Design and implement automated data preparation, analysis, and reporting processes to improve efficiency and scalability
- Prepare, clean, validate, transform, and integrate datasets for research, grading, and AI applications while ensuring data quality and integrity
- Participate in national and international meetings for the dissemination of research
- Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
- Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
- Documents approaches to address research questions
- Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
- Organizes and automates project steps for data preparation and analysis
- Assist the principal investigator in the hiring, training, and supervision of students and staff
Skills
- Two years of statistics or machine learning in professional and/or staff setting
- Proficiency with Python, Linux, and general programming, especially in statistics and machine learning
- Master Degree required; focus in Machine learning, statistics, data science, applied mathematics or related
- Cover letter required
- Resume required
- Experience with PyTorch or similar deep learning library, Docker, Neural Networks for Image Recognition and Segmentation
- Healthcare related experience
Benefits
- Flexible work schedules
- Comprehensive benefits
- Professional development
- Generous vacation
- Holidays
- Sick leave
- Competitive insurances
- Savings accounts
- Retirement benefits
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