Position Summary:

This position will work with the UAB leadership to help find insight into diverse projects and datasets such as HR, Financial, clinical or basic research. Therefore, a clear understanding of the biomedical, healthcare, and clinical study tools and data patterns is a plus. The selected individual will 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.

Plans, organizes, directs and controls activities of assigned staff with the goal of meeting the information system needs of end-users. Participates with upper management in establishing direction for the department. Directs the installation and maintenance of mainframe software, installation and operation of teleprocessing software, administration of the computerized databases and files, and security/failure recovery. Provides technical advice on equipment evaluation, selection, installation and interface with vendors, and make recommendations to departmental management for equipment selection. Monitors system load and throughput, in order to provide guidance in system tuning and capacity planning. Participates in ensuring that the production and training environments conform to department standards. Performs supervisory functions. Acts in a caring and courteous manner towards all patients, guests, visitors, students and staff.

Duties and Responsibilities:

• Provides Data Science expertise to design, evaluate, and deploy systems and projects
• Designs and implements platforms to deploy research services and transition these services from development to production using industry best practices
• Interprets, organizes, executes, and coordinates various research assignments that require data science expertise
• Formulates and conducts research on problems of considerable scope and complexity in collaboration with faculty and researchers
• Scrapes data from heterogeneous systems like SCCM, Casper, REDCap database, SQL databases and build dynamic tools for reporting and analysis
• Preprocesses data and restructures to make it ready for analytics and machine learning
• Understands and answers scientific, business, and technical questions in order to help drive an analytics product roadmap in an informed and evidence-based manner
• Creates custom solutions using advanced tools such as Python, R, D3
• Applies advanced data science models to provide innovative solutions to user problems
• Works with the leadership to produce meaningful new visual insight into the existing analytics
• Performs other duties as assigned

Salary Range: $ 85,600 - $139,100

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.

Preferred Knowledge, Skills, and Abilities

• 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
• 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
• Familiar with JSON
• Experience in working across interdisciplinary teams
• Excellent communication and interpersonal skills

"UAB is an Equal Opportunity/Affirmative Action Employer committed to fostering a diverse, equitable, and family-friendly environment in which all faculty and staff can excel and achieve work/life balance irrespective of race, national origin, age, genetic or family medical history, gender, faith, gender identity and expression as well as sexual orientation. UAB also encourages applications from individuals with disabilities and veterans."