Digital Health Data Engineer (1 yr contract) - Renewable

Key Responsibilities

Singapore-Based Technical (Data Engineering and Science) Leadership

.Serve as the primary Singapore-based representative for Lilly Digital Health's data engineering and data science efforts, acting as a technical liaison to our company HQ,EDB, and local partners.

.Coordinate regional execution of data science and platform projects in alignment with global Digital Health strategy.

.Support communication, integration, and technical alignment between Singapore stakeholders and global engineering and scientific teams.

.Contribute to ahigh-performing, mission-driven team culture grounded in technical excellence, innovation, and collaboration.

Strategic and Cross-Functional Impact

.Partner with global colleagues across Sensor Lab, Clinical Operations, Biomedical Engineering, and Product teams to design and deliver digital health data pipelines, algorithms, and clinical endpoints.

.Translate technical and scientific requirements into scalable solutions using wearable sensor data, cloud platforms, and AI.

.Provide input to platform roadmaps and clinical trial designs, representing Singapore-based execution capabilities and constraints.

Data Engineering & Infrastructure

.Design, build, and maintain robust data ingestion, transformation, and delivery systems for time-series sensor and metadata.

.Establish monitoring and quality assurance mechanisms across the data lifecycle, from device acquisition to trial-ready datasets.

.Continuously optimize data workflows for speed, reliability, and scalability.

Algorithm Development & AI Innovation

.Develop machine learning and deep learning algorithms to derive clinically meaningful digital measures (e.g., activity, sleep) from accelerometry, EEG, PPG, and other biosensors.

.Validate model performance using internal and partner datasets, ensuring generalizability and relevance for clinical use.

.Lead integration of AI features-including large language models (LLMs)-into Magnol.Ai, Company's cloud-based sensor data platform.

Required Qualifications

.Advanced degree in Computer Science, AI, Data Science, Informatics, or a related field, PhD degree will be a plus.

.Minimum 5 years of experience in industry, with a focus on data engineering, analytics, and/oralgorithm development.

.Proven hands-on experience with Python, R, SQL, cloud environments (AWS/Azure), and large-scale data processing.

.Demonstrated ability to manage complex technical projects and coordinate with geographically distributed teams.

.Strong written and verbal communication skills, with experience translating technical insights to business and clinical stakeholders.

Preferred Qualifications

.Experience in wearable sensors, digital biomarkers, or health tech platforms.

.Familiarity with time-series analysis, deep learning, and signal processing.

.Experience with LLM integration, prompt engineering, or generative AI in scientific applications.

.Exposure to Agile methodologies and CI/CD pipelines.

.Track record of cross-functional collaboration and influencing without authority.

Interested Parties please WhatsApp/Call us at 8893 3424 (Jasmine), and email your latest resume in WORD format to [Confidential Information]. You may call my office number at 65698233 (Ext.839) for a private & confidential discussion. EA License No.: 96C4864 Reg No.: R22108682 Lee Yit Foong Jasmine