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 are looking for people who are determined to make life better for people around the globe.
Research IDS unites science with technology to accelerate LRL pipeline and to deliver therapeutic innovations. Our work helps researchers follow the science to understand the disease as well as to identify potential therapies. We achieve this by leveraging technology and platforms to streamline scientific experimentation. We organize and manage high-quality data to drive analysis. We build advanced analytics platforms for scientists to rapidly analyze and visualize data in a scalable and reproducible way.
As a software engineer, you will be part of the team in LCCI designing, building and operationalizing platforms for processing data and managing analytics. You will utilize best software engineering practices to bring rigour and automation to the platforms and systems you will build. You will be leveraging both on-prem and cloud-based infrastructure making right architecture decisions to help move science along faster. You will partner closely with Research IDS leadership, Infrastructure and Info-Security organizations to ensure that your architecture decisions align well. Most importantly, you will have the opportunity to work in a highly technical, high pace, team focused, and scientifically challenging areas to accommodate ever-changing research environment.
In this role, you will:
Research IDS unites science with technology to accelerate LRL pipeline and to deliver therapeutic innovations. Our work helps researchers follow the science to understand the disease as well as to identify potential therapies. We achieve this by leveraging technology and platforms to streamline scientific experimentation. We organize and manage high-quality data to drive analysis. We build advanced analytics platforms for scientists to rapidly analyze and visualize data in a scalable and reproducible way.
As a software engineer, you will be part of the team in LCCI designing, building and operationalizing platforms for processing data and managing analytics. You will utilize best software engineering practices to bring rigour and automation to the platforms and systems you will build. You will be leveraging both on-prem and cloud-based infrastructure making right architecture decisions to help move science along faster. You will partner closely with Research IDS leadership, Infrastructure and Info-Security organizations to ensure that your architecture decisions align well. Most importantly, you will have the opportunity to work in a highly technical, high pace, team focused, and scientifically challenging areas to accommodate ever-changing research environment.
In this role, you will:
- Partner with technical leaderships across Information and Digital Solutions (IDS) and business, and proactively seek opportunities to deliver value through platforms
- Disambiguates requirements and effectively translate them into technical delivery
- Utilize best software engineering practices across software development life cycle
- Provide resolution of technical issues
- Develop deep understanding of data appearing from different Research domains such as chemistry and biology
- Ensure that platforms and applications integrate well with Lilly IDS systems
- Engineer quality and security into systems as well as develop and maintain documentation that accurately reflects the current state of the systems
Basic Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Information Management or equivalent work experience
- 4-7 years of Java Development & spring framework experience
- 2-3 years of experience in distributed message based application development (Kafka)
- 2-5 years of experience working with databases, Python, microservices
- 2 years of experience working with cloud technologies including AWS or Microsoft Azure
- Expertise working with complex data and data integrations – API development experience preferred
- Demonstrated experience and deep knowledge of systems and the integrations between infrastructure technologies (i.e. servers, operating systems, networks, firewalls, security) and applications
- Previous experience utilizing DevOps in projects such as GitHub, Docker and Jenkins for CI/CD
- Experience working with Agile frameworks
Preferred Qualifications
- Pharmaceutical or healthcare industry experience
- Understaing of chemistry/biology system development or support experience
- Experience with distributed architecture concepts, other programming languages, environments, authentication protocols, metrics and reporting tools
- Master’s degree in Computer Science or Information Technology
- Experience working in regulated environment with internal systems quality policies and procedures
Windows & Linux server experience
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