Data Science Engineer

1 month ago


Singapur, Singapore Lilly Full time
About the Role

We are seeking a highly skilled Data Science Engineer to join our Digital Health team at Lilly. As a key member of our team, you will be responsible for designing, developing, and implementing data-driven solutions to support our clinical trials and digital health products.

Key Responsibilities
  • Design and implement data pipelines, data quality reporting, and pipeline monitoring resources for data ingestion and delivery of our proprietary data sets and machine learning outputs.
  • Lead the design, construction, and optimization of systems for data collection, data transformation, and quality verification for Lilly's proprietary data sets and metadata.
  • Collaborate with our internal and external SMEs to troubleshoot issues, as well as with our data scientists and analysts to efficiently utilize our curated data and translate complex datasets into actionable insights.
  • Apply heuristic algorithms, machine learning, and/or deep learning to develop new digital measures from sensor-based digital health technologies.
  • Design, develop, and test new software features for our next-gen sensor cloud platform, including new software products and the integration of Large Language Models (LLMs) to enhance data analysis capabilities for personalized medicine.
Requirements
  • Master's degree in Computer Science, Analytics, AI, or Informatics, and at least five years of industry experience with data analysis and/or algorithm development.
  • Strong programming skills, and knowledge of data structures and algorithms – SQL, Python/R, machine learning, deep learning.
  • Excellent software development experience and problem-solving skillsets.
  • Working knowledge of cloud architecture fundamentals and web security protocols.
About Lilly

Lilly is a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 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 are committed to creating a diverse and inclusive workplace that reflects the communities we serve. We believe that diversity and inclusion are essential to our success and are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work.

We are an equal opportunity employer and do 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.


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