Data Engineer - Lilly Medicines Foundry

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.

This is an opportunity you don’t want to miss!

Lilly is entering an exciting period of growth, and we are committed to delivering innovative medicines to patients around the world. LRL has increasing needs for in-house manufacture of material for clinical supplies and will therefore construct a new campus to manufacture Clinical Trial (CT) Active Pharmaceutical Ingredient (API) to meet needs for an expanding portfolio (more and new areas), to accelerate development timelines, and to enhance supply chain robustness.

The brand-new facility also known as Lilly Medicine Foundry (LMF) will utilize the latest technology to augment the current clinical supply chain for small molecules (SM), oligonucleotides, peptides, and Antibody Drug Conjugates (ADCs), monoclonal antibodies and bioconjugates, and add new capabilities including mRNA.

The new site will be built using the latest high-tech equipment, advanced highly integrated and automated manufacturing systems, and have a focus on minimizing the impact to our environment.

What You’ll Be Doing:

As Data Engineer you will be responsible for engaging with business stakeholders to design, develop, and maintain the data pipelines and data solutions that ensure the availability and quality of data sets and actionable insights for the Foundry.  This includes data capture, integration, acquisition, , contextualization, and harmonization, leading to the delivery of data-as-a-product and reusable data domains and products.   The focus is to integrate IT/OT systems with cloud data lakehouse architecture (AWS/Azure) to enable advanced analytics and AI/ML capabilities while ensuring data integrity and compliance with relevant regulatory standards and best practices.  

The Data Engineer will work closely with the Data Architect and Data Scientists. They also work with business and IT groups beyond the data sphere, understanding the enterprise infrastructure and the many source systems.

How You’ll Succeed:

• Bring a foundational set of knowledge in: communication, leadership, teamwork, problem solving skills, solution definition, business acumen, architectural processes (e.g. blueprinting, reference architecture, governance, etc.), technical standards, project delivery, and industry knowledge.

• Provide Business Analysis and Technical Leadership including:

  • Engaging with business and proactively seeking opportunities to deliver business value.

  • Understanding business requirements and effectively translating business needs and process into technical terms, and vice versa

  • Eliciting and defining requirements.

  • Participating in design reviews to ensure traceability of requirements.

  • Seeking opportunities to reuse existing processes and services to streamline support and implementation of key systems.

  • Staying abreast of tools and technologies to influence Tech at Lilly strategy so that it provides best usage opportunities for business

• Analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics.

• Design, develop and maintain data solutions for data capture, storage, integration and analytics in partnership with Tech at Lilly teams.

• Review and provide practical recommendations on design patterns, performance considerations & optimization, database versions, and database deployment strategies

• Ensure that Data solutions adhere to regulatory requirements including FDA guidelines and Good Manufacturing Practices (GMP).

• Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence

Your Basic Qualifications: 

• Bachelor’s degree in Computer Science, Data Science, Engineering or related field

• At least 3 years of experience in several of the following disciplines: statistical methods, data modeling, ETL/ELT, ontology development, semantic graph construction and linked data, relational schema design.

• At least 1 year of experience in a pharmaceutical GxP environment.

• Qualified applicants must be authorized to work in the United Sta