
Senior Analyst
2 weeks ago
Job Summary
This role involves close collaboration with cross-functional teams, including data scientists, engineers, business stakeholders, and IT personnel, to support non-direct patient care and enhance the delivery of healthcare services.
The successful candidate will be responsible for the following:
- Developing user-friendly applications for departmental projects.
- Deploying machine learning models via interactive user interfaces.
- Reviewing and recommending enhancements to existing tools and automation scripts.
Main Duties and Responsibilities
- Identify, design, and implement process improvements such as automating manual workflows, optimizing data delivery, and redesigning infrastructure to enhance efficiency.
- Complete assigned project tasks within established timelines and quality standards.
- Assist in the development of internal tools and applications to streamline data extraction, management, and reporting for the data management team.
- Stay updated on industry best practices and apply them to improve data solutions.
- Perform data de-identification and encryption in accordance with departmental data management guidelines.
- Support data management and data science teams in re-identifying records for verification or analytical purposes, as required.
- Provide timely feedback to supervisors to pre-empt and resolve work-related issues.
Job Requirements
- A recognized Bachelor's degree in Computer Engineering, Software Engineering, or a related discipline.
- At least (2) years of relevant work experience. Proficiency in programming languages such as Python (e.g., Streamlit, Flask, Django), R (e.g., Shiny), and SQL.
- Familiarity with tools such as SharePoint, Excel (including Visual Basic), HTML, XML, and Java is preferred.
- Required to have working experience in automation work, not focusing much on data visualization/extraction. Need python and VBA skills.
- Experience in managing AI/ML applications will be an added advantage.
- Knowledge of data anonymization, de-identification, and re-identification processes and techniques is desirable.
Interested candidates, who wish to apply for the advertised position, please apply now for the below role
We regret that only shortlisted candidates will be notified.
EA License No.: 01C4394 (PERSOLKELLY SINGAPORE PTE LTD)
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