Sr/Data Analyst

at  Tan Tock Seng Hospital

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., 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.

AS A DATA ANALYST/ENGINEER, YOU WILL BE RESPONSIBLE FOR CREATING USER-FRIENDLY APPLICATIONS THAT WILL BE ABLE TO LAUNCH MACHINE LEARNING (ML) MODELS AND TRIGGER AUTOMATION SOLUTIONS. YOU WILL NEED TO WORK CLOSELY WITH CROSS-FUNCTIONAL TEAM OF DATA SCIENTISTS, ENGINEERS, BUSINESS STAKEHOLDERS AND IT TEAM TO SUPPORT PATIENT CARE AND IMPROVE HEALTH SERVICES DELIVERY.

You may also be required to act as the Trusted-Third Party (TTP) to provide data anonymization, de-identification or re-identification services for TTSH (internal) requestors.

MAIN DUTIES AND RESPONSIBILITIES

• Lead in the gathering of requirements by working and coordinating with clinicians and business stakeholders.
• Translate business requirements into system and architecture design of applications.
• Work with cross-functional teams to successfully deploy ML models and automation solutions, ensuring timelines and quality standards are met.
• Work with the IT/data management team to design, architect and maintain the required data inflow and outflow.
• Liaise with analytics platform and clinical system custodians for model deployment and workflow integration.
• Communicate effectively with stakeholders about progress, challenges, and outcomes, translating complex technical concepts into understandable terms.
• Drive continuous improvement model performance and facilitating adoption.
• Create and maintain proper project documentations.
• Perform de-identification and encryption for department managed datasets according to data management guideline.
• Take accountability in considering compliance to policies, guidelines and regulations and take appropriate steps to mitigate the risks.
• Provide prompt feedback to supervisor in anticipation of work-related problems.
• Perform general administrative duties as required.Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department.