Assistant Manager, Group Clinical Education

Borr Drilling; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Borr Drilling seeks a Data Engineer for a 2-year contract to develop and implement data pipelines for healthcare education data. As part of a multidisciplinary team, you will design data architectures, build pipelines, and manage databases to support machine learning initiatives. Candidates require a degree in Data Science or similar, with strong skills in Python, R, SQL, and cloud platforms like AWS. An understanding of the healthcare domain is an advantage.

Qualifications

• Degree in Data Science, Mathematics, Information Systems, or Computer Science.
• Proficiency in Python, R, SQL is required.
• Experience in AI models development is a plus.

Responsibilities

• Design data architecture and develop data pipelines.
• Manage and optimize databases for integrity and performance.
• Integrate data sources for seamless data flow.

Skills

Python

R

SQL

Data visualization

Analytics solutions

Education

Degree in Data Science or related quantitative fields

Tools

AWS

Job description

Data Engineer (2 Years Contract)

Education Research Team, NHG Group Clinical Education

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

RESPONSIBILITIES:

The successful candidate will be responsible for the following:

• Data architecture design: designing data systems and pipelines for efficient data flow and storage in collaboration with service teams;
• Data pipeline development: building and maintaining data pipelines (source to storage and processing systems);
• Database management: managing and optimizing databases for data integrity, performance and accessibility. Develop and implement data checks for accuracy and integrity. Monitor data integrity to proactively identify and address any issues;
• ETL (Extract, Transform and Load) Processes: to prepare data for analysis;
• System integration: integrating data sources for seamless flow between systems;
• Collaborate with teams to understand their data needs and provide analytical support.

JOB REQUIREMENTS

(a) 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 usage of data visualisation tools to develop and present interactive dashboards and reports to both technical and non-technical audiences.
• Experience in development of analytics solutions (including data processing, statistical modelling) for large datasets.

(b) Personal Attributes

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