Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches to tackle global health threats
Job Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches to tackle global health threats.
You will be responsible for identifying, assessing, and solving complex business problems related to manufacturing and supply chain, enabling the creation of insights-focused solutions.
We are seeking candidates with hands-on experience in Data Science (building end-to-end ML models) and hands-on software experience on building Gen AI based applications and systems.
Matching Summary
Join a global healthcare biopharma company with a 130-year legacy, driven by digital technology and data-backed approaches to tackle global health threats.
Skills & Requirements
Must-have
Data Science end-to-end ML models
Gen AI based applications and systems
Python, SQL, cloud environments
Data Engineering pipeline architecture
Software Development Lifecycle (SDLC)
Nice-to-have
Agile methodologies and backlog management
APIs, microservices, and DevOps practices
Community of practice participation
User-centric solutions
Ethical integrity and forward momentum
Key Requirements
Bachelor’s degree in Engineering or related field
8+ years relevant experience
Strong problem solving and critical thinking skills