Create user-friendly applications for projects engaged by the department,
Deploy models built by the department with an interactive user-interface,
Evaluate and propose changes to be made on existing tools and/or automation scripts, and
Act as the Trusted-Third Party (TTP) to provide data de-identification (anonymization) and re-identification services for TTSH (internal) requestors.
You will need to work closely with cross-function teams of data scientist, engineers, business stakeholders and IT Team to support indirect patient care and improve health services delivery.MAIN DUTIES AND RESPONSIBILITIES
Identify, design, and implement internal and external process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for better efficiency.
Work within given projects' tasks to ensure meet timeline with desired quality.
Assist to create tools and/or applications for data management team members to improve efficiency of data extraction, management and reporting.
Stay abreast of industry trends and enable successful data solutions by leveraging best practices
Perform de-identification and encryption for department managed datasets according to data management guideline.
Assist data management team and data scientist team members to re-identify cases for verification and/or analysis / analytics purposes.
Provide prompt feedback to supervisor in anticipation of work related problems
Perform duties as requested by the supervisor or Clinical and Administrative Directors of OCEAN
Ensure all aspects of security are respected at all times during the course of work
JOB REQUIREMENTS
Minimum Bachelor's degree in Computer Engineering, Software Engineering or equivalent with at least two (2) years of experience.
Proficient in programming languages such as Python (e.g., Streamlit/Flask, Django), R (e.g., Shiny), SQL.
Experience in managing AI/ML products is highly desirable.
Experience in SharePoint, Excel (Visual Basic), HTML, XML, Java preferred.
Knowledge in Data anonymization, de-identification and re-identification process and techniques is preferred.
Possess skills in statistical modeling and machine learning with experience in data storage, processing, analytics and distribution software and platforms.
Strong communication/people skills required to interact with data scientists, engineers, business end-users and vendors to design and develop solutions.
Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed.
Participate actively as a team member in organizational development and quality improvement.
Be a change agent and inculcate mindset for change for hospital-wide and departmental- level.
Able to work beyond routine work responsibilities and office hours, in the exigencies of services e.g., during infectious disease outbreaks.
