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Senior Data Science Engineer What you will do Let's do this. Let's change the world. Amgen is expanding its global Data Science capabilities, with Amgen India (AIN) playing a key role in integrated delivery and…
Test automation engineer at Amgen ensuring the quality of data pipelines and platforms: designs automated ETL/data validation tests (Python, PySpark, SQL) across AWS and Databricks, integrates tests into CI/CD, and also covers front-end Node.js testing and performance/load testing.
Quality/validation engineer at Amgen in Hyderabad who develops, executes, and maintains test plans, automated test suites, and GxP validation documentation (IQ/OQ/PQ) for the 3DEXPERIENCE PLM platform, ensuring regulatory compliance while supporting agile testing, CI/CD, and cross-team collaboration.
Manager in Amgen's media data operations: leads campaign data delivery, ingestion/QC, taxonomy compliance, and pipeline design for pharma marketing, coordinating analysts and US stakeholders. Core stack includes SQL, Python, Tableau, AWS, Databricks, and Salesforce/SFDC integrations.
Business systems analyst on Amgen's internal IT team in Hyderabad who designs, configures, and implements Kinaxis RapidResponse (Maestro) supply-chain planning solutions: translating business requirements into fit/gap analyses, building workbooks/dashboards, owning UAT, and supporting integrations with SAP S/4 HANA via data lakes and APIs in an Agile/Scrum product team.
Leads Amgen's Manufacturing Excellence product team in Hyderabad: managing a global technology team, overseeing the software-delivery lifecycle, budgets, and vendors, and ensuring solutions meet enterprise, security, quality, and regulatory standards. Requires 8-12 years' experience, including leadership of Agile/DevOps delivery in regulated (pharma/biotech) environments.
Senior Data Engineer at biotech company Amgen in Hyderabad who designs, builds, and optimizes cloud data pipelines and ETL/ELT platforms, owns pipeline projects end to end, and mentors junior engineers. Core stack is Python, PySpark, SQL, and cloud platforms (AWS preferred), with Spark and Airflow as pluses.
Internal IS architect role at Amgen (biotech) in Hyderabad: gathering business requirements and designing, configuring, and delivering Kinaxis RapidResponse (Maestro) supply chain planning solutions (demand, supply, capacity, S&OP), including integrations with SAP S/4HANA via data lakes and APIs, within an Agile product team.
Leads Amgen's Manufacturing Excellence IT product team in Hyderabad: managing people, software delivery and operations, budgets, vendors, and compliance with quality/regulatory standards. Needs 8-12 years of technology leadership in pharma, biotech, manufacturing, or other regulated settings, with Agile, DevOps, and ITIL experience.
Full-stack engineering role at Amgen's Hyderabad tech arm: lead design, build, deployment, and operation of scalable enterprise apps using React/Vite, Python/FastAPI, and AWS, with strong DevSecOps (CI/CD, security scanning) and AI/LLM-enabled features, while mentoring engineers and owning delivery end to end.
Senior Associate Data Scientist at Amgen's Hyderabad tech center building and deploying ML, statistical, and operations-research models on US pharma claims and patient-support (copay) data. Day-to-day involves maintaining a proprietary AI engine for gross-to-net initiatives, MLOps pipelines, and AI-driven dashboards using Python/R.
Full-stack engineer on Amgen's Precision Medicine team in Hyderabad, building Python/FastAPI backend services and React frontends on AWS for data-intensive R&D analytics platforms. Includes CI/CD, Databricks-based data work, and a required second shift (2:00pm–10:00pm IST).
Senior Data Scientist in Amgen India's R&D Data and Decision Science team in Hyderabad, working as a hands-on individual contributor to design, build, and run advanced analytics and AI/ML solutions for biotech/pharma R&D, with L2/L3 production support. Core stack includes Python/R, SQL, Databricks/Spark, BI tools, and AWS.
Senior Data Science Engineer at Amgen India (Hyderabad) leads development of data pipelines, ML solutions, and analytic applications that improve clinical trials across therapeutic areas. Core stack: R/Python, Spark/Dask, Git, Linux, and cloud, plus clinical data standards like CDISC and OMOP.
Full-stack engineer on Amgen's Forecasting Decision Intelligence team, building scenario-planning products end to end: React/TypeScript UIs for configuring, monitoring, and comparing scenarios, plus Python APIs, data integrations, and workflow services for forecasting, simulation, optimization, and AI-assisted decisions.
DevOps lead and client-facing specialist in Amgen's Commercial Data and Analytics team in Hyderabad. They drive roadmaps and delivery of cloud data platforms (AWS/Azure/GCP, Databricks), automate DevOps under SAFe, manage product owners, and enable AI/ML analytics capabilities.
Senior QA automation engineer at Amgen's Hyderabad technology center who designs and runs scalable automated tests for Veeva/Salesforce CRM, mobile/iPad apps, APIs, integrations, and data pipelines using Selenium, Playwright, PyTest, Python/PySpark, CI/CD integration, and AI-assisted testing to raise coverage and cut manual regression.
Senior finance-technology role at Amgen supporting the Operations Finance team: leads implementation, integration, and optimization of finance systems (SAP, Hyperion, Tableau, Smartsheet, Anaplan), automates reporting and planning, and ensures data governance and compliance, with preferred exposure to cloud, SQL/Python, RPA, and AI in finance.
Senior Software Engineer at Amgen's Hyderabad team designing, building, and deploying full-stack cloud applications (AWS, Python, JavaScript) and developing generative AI solutions with LLMs, RAG, and agent frameworks, while mentoring junior developers and owning projects from conception to deployment.
Full-stack engineer on Amgen's Applied AI (AI Studio) team in Hyderabad, owning an AI-enabled product end to end — frontend, APIs, distributed services, data — integrating ML/GenAI like RAG and bounded agents into production. Built with JavaScript/TypeScript, Python/Java/C#/Node.js and SQL, with cloud, CI/CD and regulated (GxP) delivery.
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