Job description
Summary
To provide Data Science expertise to design, evaluate, and deploy systems and projects. To design and implement platforms to deploy research services and transition these services from development to production using industry best practices. To interpret, organize execute and coordinate various research assignments that require data science expertise. To formulate and conduct research on problems of considerable scope and complexity in collaboration with faculty and researchers.
Primary Duties and Responsibilities
- Dig deep into our data right away to understand the scope and structure of the data, its location, and how to integrate them into a common platform
- Data Scrapping from the heterogeneous systems like SCCM, Casper, REDCap database, SQL databases and build dynamic tools for reporting and analysis
- Data preprocessing and re-structuring to make ready for analytics and machine learning
- Understand and answer scientific, business, and technical questions in order to help drive an analytics product roadmap in an informed and evidence-based manner
- Create custom solutions using advanced tools such as Python, R, D3
- Apply advanced data science models to provide innovative solutions to user problems
- Continuously work with the leadership to produce meaningful new visual insight into the existing analytics
- Work with the UAB leadership and provide insight into diverse projects and datasets such as HR, Financial, clinical or basic research
- Performs other duties as assigned
Annual Salary Range: $76,960 - $126,984
Qualifications
Master's degree in Data Science, Computer Science, Engineering or a related field and five (5) years of related experience required. Work experience may NOT substitute for education requirements.
The successful candidate will possess the following knowledge, skills, and abilities:
- Passion for data science and analytics
- Ability and self-motivation to proactively gather and interpret data
- Possess the insight to ask the right questions and produce reliable, evidence-based answers
- Understanding of biomedical, healthcare, and clinical study tools and data patterns is beneficial
- Possess technical proficiency, critical thinking, leadership, and strategic acumen
- Ability to multi-task in a demanding environment
- Extensive experience working with D3, R, and Python data science tools to analyze and visualize health care data and to develop data pipelines to support AI and machine learning model development
- Familiar with data visualizations applications such as Tableau or Power BI
- Strong working knowledge of databases (SQLLite or MS SQL)
- Demonstrable 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
- Familiar with JSON
- Experience working across interdisciplinary teams
- Excellent communication and interpersonal skills
