Sr Data Analyst , Information Analytics Services

JOB SUMMARY

To work closely with domain experts and/or stakeholders (e.g., clinicians, pharmacists, other healthcare professionals and management team etc.) and IT teams to develop and deploy models to support patient care and improve health services delivery.

MAIN DUTIES AND RESPONSIBILITIES

SPECIFIC

• Design and implement data-driven solutions to support decision-making processes and improve healthcare outcomes.
• Implement and deploy models in the analytics platform / clinical system and integrate with application workflow to support patient care and health services delivery.
• Work closely with requestors and/or stakeholders to drive adoption of analytics insights / model results into workflow.
• Conduct regular review on existing data science initiatives and identify ways to develop integrated data science solutions across functions.
• Document data analytics projects conducted, maintain the developed models, and assist to resolve requestors’ issues.
• Increase awareness of analytic work through high quality journal publications and conference presentations.
• Seek collaborations and apply research fundings.
• Conduct training and sharing sessions on data analysis and analytics. 
• Mentor junior data scientists.

GENERAL

• Take accountability in considering compliance to policies, guidelines and regulations and take appropriate steps to mitigate the risks.
• Highlight potential concerns to Supervisor and/or risks and proactively look for the risk management practices.
• 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.

JOB REQUIREMENTS

EDUCATION

Degree or Master's in Data Science, Statistics, Computer Science, Computer Engineering, or equivalent disciplines with extensive use of data for analysis.

EXPERIENCE

• Minimum 5 years of experience in the development and implementation of data science solutions in healthcare system.
• Advanced skills in statistical modeling, machine learning and deep learning models.
• Ability to manage large-scale data projects.
• Strategic thinking and excellent problem-solving skills.
• Strong proficiency in programming languages such as Python, R.
• Knowledge in HTML, JAVA etc. and big data technologies like Hadoop or Spark.
• Strong communication skills to liaise between technical and clinical teams.

EXPERIENCE    

• 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.