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Senior Data Scientist - Protein Data Pipelines Role Summary The Senior Data Scientist - Protein Data Pipelines will play a critical role in enabling predictive modeling for protein sequence, structure, and function by…
ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the worlds toughest diseases and make peoples lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative…
ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the worlds toughest diseases, and make peoples lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines…
ABOUT THE ROLE The Engineering Projects Senior Manager Capital Equipment Analytics leads the development and delivery of equipment-focused analytics capabilities supporting global capital projects. This role is…
Machine Learning Engineer, AI Studio CAREER LEVEL: GCF 4 Senior Associate CAREER TRACK: Individual Contributor PRIMARY SCOPE: Independent ownership of defined production ML/AI components ORGANIZATION: Applied AI | AI…
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.
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.
Senior data scientist at Amgen's Hyderabad technology team building and maintaining predictive models that identify and prioritize healthcare professionals for commercial targeting and engagement. Core stack is Python, SQL, and Databricks/PySpark, with emphasis on feature engineering, explainable ML, and mentoring other data scientists.
Senior data leadership role at Amgen shaping the enterprise-wide data strategy for AI enablement — building AI-ready data products, governance frameworks, master/metadata management, and semantic layers. Day to day involves driving data maturity programs, ROI/value frameworks, and innovation pilots, leveraging platforms like Collibra, Informatica, and Databricks.
Senior manager leading end-to-end marketing analytics delivery (predictive models, patient analytics, measurement frameworks, experimentation) for assigned therapeutic areas at Amgen's India Decision Sciences team in Hyderabad, partnering with US investment/media teams and mentoring data scientists. Core stack: Python, SQL, Databricks.
An individual contributor architecting connected-data solutions for Amgen's Operations Transformation, combining information modeling, knowledge graphs, and Generative AI on enterprise platforms like Databricks, AWS, SQL/SPARQL, and OpenAI APIs. Focuses on regulated pharma data use cases, from proof of value to scalable, compliant AI products.
Leads data analytics, automation, and technology innovation for Amgen's Corporate Audit function in Hyderabad — building data pipelines, dashboards, and audit automations, upskilling audit staff, and embedding analytics into audit planning and reporting. Core stack includes Alteryx, Databricks, Python, SQL, Tableau/Power BI, and Power Automate/UiPath.
Designs and maintains data architecture and conceptual/logical/physical data models across Amgen's data analytics platforms, including metadata management, governance, and query performance optimization. Core stack is big data tooling: Databricks and Apache Spark (PySpark/SparkSQL), with graph databases as a plus.
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.
Systems analyst on Amgen's Clinical Data Hub team in Hyderabad: gathers business requirements, writes user stories/specs in Jira, and develops and supports large-scale clinical data pipelines and analytics using Databricks, PySpark, SQL, Python, and AWS in a GxP-regulated, Agile environment. Requires evening/shift availability.
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.
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.
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