Asst Manager, Group Clinical Education

National Healthcare Group Corporate Office (HQ); Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Engineer to join their Education Research Team. This role involves collaborating with clinician educators and administrators to develop data pipelines that enhance the educational environment in healthcare. The successful candidate will design data architecture, manage databases, and integrate various data sources, ensuring data integrity and accessibility. If you are passionate about leveraging data to drive insights and improve education in healthcare, this opportunity is perfect for you. Join a multidisciplinary team dedicated to making a significant impact through data-driven solutions.

Qualifications

• Degree in Data Science or related quantitative fields.
• Proficiency in Python, R, and SQL programming languages.
• Experience in developing analytics solutions for large datasets.

Responsibilities

• Designing data systems and pipelines for efficient data flow.
• Building and maintaining data pipelines from source to storage.
• Managing and optimizing databases for data integrity and performance.

Skills

Python

R

SQL

Data Visualization

Analytical Skills

Problem-Solving

Education

Degree in Data Science

Degree in Mathematics

Degree in Information Systems

Degree in Computer Science

Tools

AWS

Data Processing Tools

Statistical Modeling Tools

Job description

Data Engineer

Education Research Team,

NHG Group Clinical Education (Singapore - NHG HQ)

The successful candidate will work in a multidisciplinary team to partner with clinician educators, administrators, the GCIO office, and Synapxe to develop and implement data pipelines for education-related data in healthcare. This will enable end users to implement machine learning models to gain data-driven insights for improving the education environment.

Responsibilities:

The successful candidate will be responsible for the following:

1. Data architecture design: Designing data systems and pipelines for efficient data flow and storage in collaboration with service teams.
2. Data pipeline development: Building and maintaining data pipelines (source to storage and processing systems).
3. Database management: Managing and optimizing databases for data integrity, performance, and accessibility. Developing and implementing data checks for accuracy and integrity. Monitoring data integrity to proactively identify and address issues.
4. ETL processes: Extracting, transforming, and loading data to prepare it for analysis.
5. System integration: Integrating data sources for seamless data flow between systems.
6. Collaboration: Working with teams to understand their data needs and providing analytical support.

Job Requirements:

1. Education/Training/Experience:

• Degree in Data Science or related quantitative fields (e.g., Mathematics, Information Systems, Computer Science).
• Proficiency in programming languages: Python, R, SQL.
• Experience in development or deployment of AI models is a plus.
• Knowledge of machine learning platforms and services from cloud providers such as AWS.
• Proficient in data visualization tools to develop and present interactive dashboards and reports to both technical and non-technical audiences.
• Experience in developing analytics solutions (including data processing and statistical modeling) for large datasets.

Personal Attributes:

• Strong analytical and problem-solving skills, with the ability to work independently and within a multidisciplinary team.
• Excellent communication and presentation skills to convey analytical findings to diverse audiences.
• Knowledge of the healthcare domain is an advantage.