Discovery Domain Cloud Solutions Analyst, LRL Tech – Research

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.

Position: Discovery Domain Cloud Solutions Analyst, LRL Tech -  Research

Path/Level: R1
Note: Roles are posted at the lowest level of a band; however, employees should search across all levels of the band to identify all opportunities. Employees hired on banded positions (ex: P1-P3, R1-R2, B1-B3, etc.) transfer at their current level, despite the level indicated on the job posting. For example, if a P2 candidate is selected for a P1-P3 banded position, the candidate will remain a P2 in the new role.

Lilly’s Purpose

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 39,000 employees 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 globe.

Key Responsibilities:

• Design, build, and maintain highly scalable and secure cloud-based backend services and APIs to enable data-driven decision-making in the Discovery Informatics domain.

• Partner with Discovery scientists and informatics experts to understand scientific data workflows, research data management needs, and analytics pipelines to deliver meaningful cloud-native solutions.

• Develop and deploy containerized applications using Kubernetes, enabling scalable data processing pipelines and scientific computing environments.

• Deliver solutions leveraging AWS cloud services, focusing on data acquisition, integration, and analysis across high-throughput Discovery research platforms.

• Implement and optimize CI/CD pipelines for continuous deployment of scientific data services, integrating automated testing and deployment strategies.

• Apply infrastructure-as-code (IaC) principles using tools like Terraform or AWS CloudFormation to automate provisioning of informatics platforms and data environments.

• Ensure secure data handling and compliance with data governance policies, including identity and access management, data encryption, and audit logging.

• Develop and maintain robust monitoring solutions to ensure system availability, performance, and data integrity for critical Discovery research activities.

• Drive automation and continuous improvement in cloud infrastructure, reducing operational overhead and accelerating time to insight for scientific teams.

• Collaborate with cross-functional teams, including data scientists, bioinformaticians, and application specialists, to integrate informatics solutions seamlessly into research workflows.

• Stay informed about advancements in cloud technologies, informatics platforms, and best practices in scientific data management.

• Contribute to documentation, knowledge sharing, and technical mentoring within the Discovery Informatics and Engineering teams.

Skills and Experience:

• Must-have:

  • Strong hands-on experience with AWS services (e.g., EC2, S3, Lambda, RDS, CloudWatch, IAM, etc.), especially in data management and scientific applications.

  • Strong experience with Kubernetes for container orchestration, with a focus on scaling scientific data services.

  • Proficient in backend development using Python, Node.js, or Java, with a solid understanding of RESTful API design and implementation.

  • Experience building scientific data pipelines and integrating research data repositories.

  • Proficiency in CI/CD tools and automation frameworks (e.g., GitHub Actions, Jenkins, CodePipeline).

  • Hands-on experience with Terraform or CloudFormation for automating cloud infrastructure.

  • Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, ELK stack).

• Preferred:

  • Experience working in regulated environments such as pharmaceuticals, with an understanding of data integrity and compliance.

  • Exposure to scientific informatics platforms (e.g., electronic lab notebooks (ELN), LIMS, or bioinformatics tools).

  • Knowledge of container security best practices and vulnerability scanning tools.

  • Experience with AWS analytics services (e.g., Redshift, Athena, Glue) for scientific data analysis.

  • Familiarity with serverless computing in AWS (Lambda, Step Functions).

  • Understanding of Agile development methodologies and DevOps practices.

  • Excellent problem-solving skills, attention to detail, and the ability to work independently in a fast-paced environment.

  • Strong verbal and written communication skills, able to effectively collaborate with technical and non-technical stakeholders.

About the Organization:

Lilly IT builds and maintains capabilities using cutting-edge technologies, like many of the world’s most prominent tech companies. What differentiates Lilly IT is that we create new possibilities through technology to advance our purpose — creating medicines that make life better for people around the world, through innovations such as data-driven drug discovery and connected clinical trials. We hire the best technology professionals from diverse backgrounds to bring an assortment of knowledge, skills, and perspectives to deliver innovative solutions across all areas of our business.

The Discovery Informatics team at Lilly plays a crucial role in advancing scientific research by providing robust digital solutions that support data acquisition, management, and analysis for early drug discovery. We partner closely with scientists to turn data into insights, accelerating the path from lab to patient.

Lilly is entering an exciting period of growth, investing globally to create new state-of-the-art manufacturing sites and expanding existing facilities to meet the growing demand. These advanced facilities leverage the latest technology, feature highly integrated and automated systems, and are designed with sustainability in mind to minimize environmental impact.

Note: When applying internally, your current supervisor receives notification of your application. We encourage employees to discuss career opportunities with their supervisors prior to applying.

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

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 (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

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