Data Engineer - Digital Health R&D

RECRUIT LYNC PTE. LTD.; Singapore; On-site; SGD 60,000 - 95,000; Full time

Benefits offered by this job

Completion Bonus

Job summary

RECRUIT LYNC PTE. LTD. in Singapore is seeking a data engineer to design, build and maintain data pipelines for digital health studies, ingesting, transforming and delivering analysis-ready datasets.

You will develop pipeline code in Python and SQL, support time-series and wearable data, and collaborate with data scientists and clinical teams to drive study objectives. Knowledge of AWS/Azure/GCP is required. Monday-Friday work week and completion bonus.

Qualifications

• Minimum Degree in Computer Science, Data Engineering, Analytics, AI or related discipline
• Minimum 3 years of experience in Data Engineering, Data Analysis and Algorithm Development
• Strong proficiency in Python and SQL
• Experienced with cloud platforms such as AWS, Azure or GCP

Responsibilities

• Design, build and maintain data pipelines for digital health and clinical study data.
• Manage data ingestion, transformation, storage, quality checks and delivery of analysis-ready datasets.
• Develop and maintain pipeline code using Python and SQL.
• Support analysis of wearable sensor and time-series data.
• Apply machine learning, deep learning and AI/LLM technologies to support digital health initiatives.
• Monitor data quality, troubleshoot pipeline issues and ensure data is traceable and reproducible.
• Build and maintain internal APIs and data platforms supporting AI and analytics applications.
• Collaborate with data scientists, clinical teams and other stakeholders to support study and research objectives.
• Drive improvements in data processing efficiency, integrity and quality.

Skills

Data pipelines

Python

SQL

Cloud platforms

Data analysis

ML basics

Education

Bachelor's degree in Computer Science / Data Engineering / Analytics / AI

Tools

AWS

Azure

GCP

Job description

• Monday - Friday
• Healthcare Sector
• Completion Bonus

Responsibilities

• Design, build and maintain data pipelines for digital health and clinical study data.
• Manage data ingestion, transformation, storage, quality checks and delivery of analysis-ready datasets.
• Develop and maintain pipeline code using Python and SQL.
• Support analysis of wearable sensor and time-series data.
• Apply machine learning, deep learning and AI/LLM technologies to support digital health initiatives.
• Monitor data quality, troubleshoot pipeline issues and ensure data is traceable and reproducible.
• Build and maintain internal APIs and data platforms supporting AI and analytics applications.
• Collaborate with data scientists, clinical teams and other stakeholders to support study and research objectives.
• Drive improvements in data processing efficiency, integrity and quality.

Requirement

• Minimum Degree in Computer Science, Data Engineering, Analytics, AI or related discipline
• Minimum 3 years of experience in Data Engineering, Data Analysis and Algorithm Development
• Strong proficiency in Python and SQL
• Experienced with cloud platforms such as AWS, Azure or GCP

We regret to inform you that only shortlisted candidate will be notified.