Digital Health Data Science Engineer

Eli Lilly; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A global healthcare leader is seeking a Digital Health Data Science Engineer to take charge of local data engineering initiatives in Singapore. This role includes leading data science projects, collaborating with international teams, and innovating AI-driven health solutions. Ideal candidates will have an advanced degree, at least 5 years of relevant experience, and hands-on expertise in cloud platforms and programming languages such as Python and SQL. Join a mission-driven team dedicated to transforming health through digital technology.

Qualifications

• Minimum 5 years of experience in data engineering, analytics, or algorithm development.
• Hands-on experience with Python, R, SQL, cloud environments, and large-scale data processing.
• Strong communication skills to convey technical insights to diverse stakeholders.

Responsibilities

• Lead data engineering and data science efforts in Singapore.
• Coordinate execution of data science projects aligned with global strategy.
• Design and optimize data pipelines and algorithms for clinical use.

Skills

Data engineering

Machine learning

AI integration

Cloud platforms (AWS/Azure)

Python

R

SQL

Cross-functional collaboration

Education

Advanced degree in Computer Science, AI, Data Science, Informatics

Tools

AWS

Azure

Machine learning frameworks

Job description

At Lilly, we unite caring with discovery to make life better for people around the world.

We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Digital Health – Data Science Engineer

Location: Singapore | Job Type: Full-Time, Regular | Travel: 0–10%

The Digital Health Data Science Engineer is a high-impact technical and strategic role at the forefront of digital biomarker development, AI-powered clinical data analytics, and platform innovation. In this position, you will play a dual role: contributing hands‑on to data engineering, algorithm development, and AI integration—while also serving as the primary point of contact for Lilly Digital Health’s data engineering and data science activities in Singapore. You will support key clinical initiatives, collaborate closely with global colleagues, and help drive regional execution in alignment with Lilly’s digital health innovation strategy. This role is central to Lilly’s partnerships with the Singapore Economic Development Board (EDB) and the Lilly Centre for Clinical Pharmacology (LCCP), contributing to our expanding presence in Asia.

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 LCCP, 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 a high‑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, Lilly’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/or algorithm 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.

What Sets You Apart

• A strong blend of technical expertise and cross‑cultural collaboration skills, enabling you to drive execution locally while aligning with global objectives.
• Growth mindset and enthusiasm for developing next‑generation digital health products.
• Strategic orientation with the ability to adapt in a dynamic, evolving environment.
• Passion for improving lives through innovative digital and clinical technologies.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form for further assistance. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe! #WeAreLilly