1 day ago
Indianapolis, IN, USAStaff+
Responsibilities
- Lead the modernization of global pharmacovigilance systems and legacy data products.
- Design and execute enterprise-scale systems and data engineering solutions across cloud and R&D platforms.
- Shape technical roadmaps and ensure scalability, compliance, integration, application integrity, and safety.
- Integrate safety platforms with the broader enterprise landscape, including SAP ERP, Veeva RIM, and Ennov.
- Establish engineering standards and promote rapid prototyping, continuous discovery, and reliable product delivery.
- Mentor and coach engineers while fostering engineering excellence across product squads.
- Partner with product management, enterprise architecture, core engineering, and security teams.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, a related field, or a foreign equivalent.
- At least 5 years of progressively responsible post-baccalaureate experience in the offered role or related engineering/data science roles.
- At least 5 years of experience with PaaS/SaaS and R&D SaaS platforms including Veeva RIM, PV, Aegis, and Ennov in life science drug research and product safety.
- At least 5 years of experience implementing controls for audit-ready systems in regulated pharmaceutical GxP environments.
- At least 5 years of experience with public cloud platforms including Microsoft Azure and GCP and automation/integration services including Logic Apps and Databricks.
- At least 5 years of experience engineering and delivering enterprise-scale data solutions using Azure, GCP, and Oracle environments.
- At least 5 years of experience with software development practices including CI/CD, TDD, and DevSecOps tooling.
- At least 5 years of programming and scripting experience with Python and JavaScript, including Python object-oriented programming, classes, methods, and custom packages.
- At least 5 years of experience with data architecture and engineering methodologies including domain-driven data architecture, scalable data pipelines, API-centric design, SQL/NoSQL, and FAIR data principles.
- Must be able to complete 10% domestic travel and live within commuting distance of the assigned Elanco office.
Benefits
- Work arrangement requires working from the assigned Elanco office 30 days per quarter.
- The role requires 10% domestic travel for site-based product discovery and implementation.
- Elanco states that it is an EEO/Affirmative Action Employer and supports a diverse and inclusive work environment.
Tech Stack
Categories
Data Engineering
About Elanco
Elanco is a public animal health company that develops pharmaceuticals, vaccines, parasiticides, and nutrition products for pets and farm animals, sold through veterinarians, distributors, and retail channels. Headquartered in Indianapolis and traded on the NYSE (ELAN), it originated at Eli Lilly in 1954 and became an independent company in 2018. Elanco expanded its portfolio by acquiring Bayer Animal Health in 2020, serving companion-animal and livestock markets worldwide.