Research Informatics Platform Engineer

Eli Lilly and CompanyUs, IN
Hybrid

About The Position

As a Lilly Research Informatics Platform Engineer, you will build cutting edge AI & Informatics tools with a team of passionate engineers to accelerate & enhance Lilly’s drug discovery process. You will be hands-on designing architecture, deploying scalable services/integrations, and developing novel software to harness the power of ML & computational tooling to assist researchers in their day-to-day work. You will collaborate closely with partners from Lilly Research Labs, AI, Software Engineering, and industry leading partners outside Lilly to accelerate medicine discovery for Lilly.

Requirements

  • Go, Rust, Java, C++ or other OOP
  • Experience with scripting languages such as Python/ Javascript
  • Worked with Containers, Serverless, Kubernetes and other hosting targets
  • Understanding of HTTP and restful based APIs.
  • Experience applying test driven development methodologies to catch bugs early & prevent feature reversion.
  • Experience using CI tools to automatically test & CD tools to automatically deploy code updates.
  • Experience applying systems engineering concepts to distributed systems with high throughput & availability requirements.
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering
  • Minimum 4 years of experience in architecture and software engineering

Nice To Haves

  • Master's degree in Computer Science, Information Technology, Software Engineering
  • Proven track record of delivering complex, cross-functional IT solutions.

Responsibilities

  • Design, architect and develop robust, scalable and secure software solutions with a hands-on approach.
  • Collaborate within a team of engineers, using best practices in software development such as design review, code reviews, testing, and continuous integration/continuous deployment (CI/CD).
  • Build and maintain microservices architectures and APIs, ensuring seamless interoperability and data flow across platforms.
  • Implement containerization solutions, particularly using Kubernetes, to support deployment and scaling needs.
  • Collaborate with diverse technical teams, including R&D, Data Science, IT Operations, and AI/ML teams, to translate business requirements into technical solutions.
  • Ensure optimal system performance, reliability, and security through proactive monitoring, automated testing, and continuous improvement.
  • Troubleshoot complex technical issues in a complex microservice architecture, collaborating across teams to identify, resolve, and build future mitigation strategies.
  • Monitor and track operational metrics.
  • Ensure robust integration of AI/ML models into production environments, focusing on scalability, performance, and reliability.

Benefits

  • company bonus (depending, in part, on company and individual performance)
  • company-sponsored 401(k)
  • pension
  • vacation benefits
  • medical, dental, vision and prescription drug benefits
  • flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
  • life insurance and death benefits
  • certain time off and leave of absence benefits
  • well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
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