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Senior Data Scientist in Amgen's Process Development digital organization in Hyderabad, partnering with scientists and business stakeholders to build analytics, dashboards, ML and generative-AI-driven data products. Core tools: Python, R, SQL and BI platforms like Spotfire, Tableau and Power BI.
Associate front-end developer on Amgen's Commercialization Technology team, building and enhancing user-facing applications and data integrations that support portfolio governance operations. Day-to-day work spans React/TypeScript front ends, Python web frameworks, Salesforce and Power Platform low-code tools, plus API/database integrations in an Agile setup.
Level 4 Data Engineer at Amgen's Hyderabad technology center: designs, builds, and maintains data pipelines and ETL/ELT solutions to deliver reliable, governed data for business decisions. Core stack is big data tooling — Databricks, Apache Spark/PySpark, SQL, AWS — plus growing exposure to AI solutions using LLMs, RAG, and AI-assisted dev tools.
Principal Business Analyst leading Amgen's global supply-chain serialization domain in Hyderabad: designing and supporting SAP ATTP/ICH track-and-trace solutions, ensuring DSCSA/EU FMD compliance, integrating serialization with ERP, manufacturing and packaging systems, and bridging IT and business stakeholders. Requires willingness to work evening/night shifts.
Scrum Master for one or more software teams in Amgen's digital technology (marketing) group in Hyderabad. Day to day: facilitating Scrum ceremonies, coaching teams on Agile practices, removing impediments, and tracking delivery metrics using tools like Jira and Azure DevOps, with scaled Agile (SAFe) experience a plus.
Software engineer in Amgen's Research Automation Technologies (RAT) group in Hyderabad, building full-stack lab automation solutions in .NET (C#, WPF) and Python — desktop/web apps and AWS Lambda — that control lab instruments and integrate with Benchling, Mosaic, and Oracle via REST APIs on AWS to accelerate drug discovery.
Designs, builds, and maintains data pipelines, ETL/ELT processes, and data models, and develops ML/AI and visualization solutions that turn large datasets into business insights for a pharma company. Core stack: Databricks, Apache Spark/PySpark, SQL, Python/R, Tableau, and AWS.
Senior Data Scientist on Amgen's AI Data for Engineered Biologics team in Hyderabad, building ML and generative models (protein language models, diffusion) that link sequence, structure, and biophysical data to predict protein developability and guide large-molecule drug design. Core stack: Python, PyTorch, AWS/HPC.
Maintains and enhances Amgen's global CRM and marketing platform — Veeva CRM, Salesforce, and Salesforce Marketing Cloud — handling incident resolution, integrations, monitoring, testing, and CI/CD pipelines. Core tech: Apex, Visualforce, SQL, Java, Git, Jenkins, and Copado.
Senior Associate on Amgen's Global Procurement Data & Analytics team in Hyderabad, maintaining procurement master data, spend taxonomy, supplier lists, and dashboards while building analytics use cases (including predictive analytics, ML, and AI) to enable data-driven procurement decisions.
Associate Business Systems Analyst on Amgen's global Commercialization Technology team in Hyderabad, supporting portfolio governance tools across the delivery lifecycle — requirements gathering, backlog refinement, testing, documentation, and production support. Core stack: Agile/Scrum and Jira, with exposure to Salesforce, Tableau/Power BI, AWS, Databricks, and GitLab.
Senior engineer at Amgen's Hyderabad tech center who designs, builds, and maintains full-stack enterprise applications — React front ends, cloud back-end services, and AI/LLM-powered features — while supporting CI/CD, monitoring, and incident response. Core stack: React/TypeScript, REST/GraphQL, AWS/Azure/GCP, and generative AI (LLMs, RAG).
Leads a team at Amgen Technology (Hyderabad) governing enterprise Engineering, Facilities, and EHS systems and master data — owning data governance, MDM quality, metadata/cataloging, integrations, and analytics enablement aligned to FAIR and Clean Core principles. Requires 12-17 years' experience with platforms like SAP/EAM/CMMS and tools like Power BI.
Role Summary The AIN-based Computational Biology Data Scientist will design, implement, and advance advanced analytical and AI-driven frameworks to enable translational and reverse-translational insights from clinical…
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What you will do Let's do this. Let's change the world. Amgens AI Data for Engineered Biologics team within Large Molecule Discovery is seeking a Software/ML Engineer to help bring predictive models and…
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