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. Company Overview: 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 around the world work to discover and bring life-changing medicines to those who need them the most, 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. Tech@Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Tech@Lilly is that we redefine what’s possible through tech to advance our purpose – creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business. LRL Tech unites science with technology to accelerate the Research and Development of medicines and to deliver therapeutic innovations. The team leverages technology and platforms to streamline scientific experimentation to help Researchers follow the science, to understand the disease and identify potential therapies. They are at the forefront of advanced analytics to enable data driven drug discovery, to innovate so Scientists can rapidly analyze and accelerate the discovery of new medicines. Position Overview: We are looking for a hands-on, Advisor - Informatics & Scientific Applications Architect to design and deliver next-generation digital platforms supporting drug discovery, preclinical research, analytical sciences, and CMC applications. This role demands deep expertise in AWS serverless architectures, cloud-native designs, automation, and microservices for scientific data applications. You will play a key leadership role in architecting multi-tenant, high-performance, modular, and scalable informatics ecosystems that integrate scientific workflows, computational platforms, and cloud infrastructure. Key Responsibilities: Architectural Leadership: Architect and build a multi-tenant, serverless informatics platform leveraging AWS Lambda, DynamoDB, S3, EBS, EFS, Route 53, and API Gateway. Design data partitioning strategies for multi-tenant scientific data storage and explore microservices frameworks for scalable architecture. Lead cloud-native software design using Kubernetes, Docker, and containerized services, ensuring high reproducibility and scalability of scientific applications. Build scalable Research Data Lakes, asset registries, and metadata catalog to support large-scale scientific data ingestion and retrieval. Complex Scientific Data Flow & Interoperability: Architect frameworks that facilitate seamless data exchange between discovery research systems, including LIMS, ELN, analytical tools, and registration systems. Implement RESTful and GraphQL APIs for high-performance data interoperability across computational models, bioassays, and experimental workflows. Establish scientific data standards to ensure consistency, traceability, and governance across the R&D landscape. Scientific Workflow Automation & Computational Frameworks: Architect scientific workflow automation platforms using Apache Airflow, EventBridge, RabbitMQ, and Kafka, enabling real-time data acquisition and bioassay processing. Design platforms supporting in silico modeling, AI-driven analytics, and high-throughput screening simulations. Integrate Cloud (AWS/Azure) platforms with HPC clusters to handle bioinformatics, cheminformatics, and translational modeling workloads. Cloud, DevOps, and Observability: Maintain deep technical hands-on expertise with AWS CloudFormation, Ansible, Jenkins, Git, and other DevOps automation tools. Implement observability solutions using Prometheus, Grafana, OpenTelemetry to monitor system health, performance, and workflows. Continuously learn, explore, and drive adoption of cutting-edge cloud-native, containerization, serverless, and scientific informatics trends. Cross-Functional Scientific Collaboration: Collaborate closely with scientists, data scientists, computational biologists, formulation teams, and manufacturing engineers to co-create informatics solutions. Serve as a trusted technical advisor for cloud migration, scientific data modernization, and AI/ML integration projects. Work with UI/UX teams to create intuitive digital interfaces for scientific workflow automation and data exploration. Technology Strategy, Governance & Best Practices: Drive architectural strategy, making informed decisions around buy vs. build, third-party integrations, and platform extensibility. Define and enforce best practices for scientific IT security, data privacy, compliance (GxP, FAIR), and cloud operations. Champion a modular, service-oriented, event-driven architecture to enable rapid innovation, maintainability, and scalability. Required Qualifications: Experience: 10+ years of enterprise IT and scientific informatics architecture experience. Deep technical leadership experience in AWS serverless and scientific data integration projects. Proven experience building cloud-native, scalable platforms integrating LIMS, ELN, MES, compound registries, and scientific analysis tools. Education: Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Information Systems, or related disciplines. Technical Expertise: Expertise in AWS serverless architectures (Lambda, DynamoDB, S3, Route53, API Gateway), containerized platforms (Kubernetes, Docker), and scientific workflow tools (Airflow, Kafka, EventBridge). Strong knowledge of microservices design, DevOps automation, scientific data systems, and HPC integration. Experience in observability setup for complex distributed systems in scientific environments. 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
