Data Science Expert

2 weeks ago

Birmingham, Birmingham, United Kingdom University of Alabama at Birmingham Full time

This position will collaborate with UAB leadership to uncover insights from diverse projects and datasets, including HR, Financial, clinical, or basic research. A strong understanding of biomedical, healthcare, and clinical study tools and data patterns is beneficial. The selected individual will delve into our data to comprehend its scope, structure, location, and integration into a common platform.

Key Responsibilities
  • Provide Data Science expertise to design, evaluate, and deploy systems and projects
  • Interpret, organize, execute, and coordinate various research assignments requiring data science expertise
  • Scrape data from heterogeneous systems like SCCM, Casper, REDCap database, SQL databases, and build dynamic tools for reporting and analysis
  • Preprocess data and restructure it for analytics and machine learning
  • Understand and answer scientific, business, and technical questions to inform an analytics product roadmap
  • Create custom solutions using advanced tools such as Python, R, D3
  • Apply advanced data science models to provide innovative solutions to user problems

Bachelor's degree in Business, Computer Science, or a related field and seven (7) years of related experience required. Work experience may substitute for education requirement. Extensive experience working with D3, R, and Python data science tools to analyze and visualize healthcare data and develop data pipelines for AI and machine learning model development.

Requirements
  • Familiarity with data visualizations applications such as Tableau or Power BI
  • Good working knowledge of databases (SQL Lite or MS SQL)
  • Strong skills in software development and engineering with expertise in applicable programming languages and open-source machine learning and deep learning packages like Tensorflow, Torch, Theano, and Caffe

Organization: 311400000 Department of Medicine Chair Office Shift: Day/1st Shift Work Arrangement (final schedule to be determined by the department/hiring manager): Remote/Hybrid Eligible

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