Data Scientist -Wisconsin Reading Center

Universities of WisconsinMadison, WI
Remote

About The Position

The Wisconsin Reading Center and A-EYE unit is looking for a key role in the research team to participate in data analytics in health sciences with a focus on ophthalmology. This involves working with large datasets from various sources, collaborating with ophthalmologists and researchers to develop predictive models to aid in the detection, diagnosis, and management of patients with ocular diseases. This is a great opportunity to work on interesting projects in a highly collaborative environment with a goal of implementing big data analysis in preventing and curing blindness. It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding.

Requirements

  • 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.

Nice To Haves

  • Experience with PyTorch or similar deep learning library, Docker, Neural Networks for Image Recognition and Segmentation.
  • Healthcare related experience

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.
  • Assist faculty with the education and mentoring of research students.
  • 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.

Benefits

  • flexible work schedules
  • comprehensive benefits
  • professional development
  • generous vacation
  • holidays
  • sick leave
  • competitive insurances
  • savings accounts
  • retirement benefits
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