Amgen
Healthcare
SeniorManager&TechLead,TranslationalDataEngineering&AI
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optimal for Manager candidates.
“Senior Manager & Tech Lead, Translational Data Engineering & AI at Amgen. Skills: Translational Data Engineering, Biomarker Data Ingestion, Clinical Data Ingestion, AI/ML Platform. Lead design of data ingestion pipelines. Lead development of data ingestion pipelines”
Industry & Context.
Troubleshooting data ingestion processes
What They're Looking For.
Must Have
Bachelor's or Master's degree, 10+ years of experience in data engineering, 2-3 years focused on biomarker/clinical data ingestion, Programming skills in Python, Database design experience, Experience with workflow/orchestration tools, Familiarity with HPC, Familiarity with cloud platforms, Familiarity with storage, Best practices for secure data handling, Experience with version control, Experience with CI/CD, Experience with containerization, Experience building R pipelines, Experience testing R pipelines, Experience debugging R pipelines, Knowledge of clinical data formats, Knowledge of clinical data standards, Experience working with clinical labs, Experience working with biomarker assays, Familiarity with data standardization, Familiarity with data harmonization, Familiarity with controlled vocabularies, Data modeling familiarity, Metadata management familiarity, Experience leading technical projects, Mentoring engineers experience, Prior experience in biomedical/pharmaceutical environment
Nice to Have
PhD is a plus
What You'll Do.
Lead design of data ingestion pipelines
Lead development of data ingestion pipelines
Lead operation of data ingestion pipelines
Prepare biomarker data for analytics
Prepare clinical data for analytics
Prepare biomarker data for visualization
Prepare clinical data for visualization
Prepare biomarker data for machine learning
Prepare clinical data for machine learning
Design AI enabled tools
Implement AI enabled tools
Automate data ingestion processes
Troubleshoot data ingestion processes
Define metadata curation tools
Design metadata curation tools
Implement metadata curation tools
Define metadata management tools
Design metadata management tools
Implement metadata management tools
Lead configuration of MCP servers
Lead setup of MCP servers
Manage data interfaces
Serve as SME for agentic orchestration frameworks
Manage requirements for data ingestion pipelines
Manage operational aspects of data ingestion pipelines
Manage delivery of data ingestion pipelines
Manage communication for data ingestion pipelines
Manage program support on biomarker objectives
Manage a team of data ingestion engineers
Provide technical leadership
Drive best practices on software engineering
Collaborate with internal biomarker labs
Collaborate with contract research organizations
Collaborate with third party labs
Set up data transfer specification
Set up data transfer agreement
Implement data validation
Implement quality control checks
Remediate ingestion failures
Remediate data quality issues
Maintain documentations
Standardize biomarker datasets
Standardize clinical datasets
Contribute to platform discussions
Contribute to architecture discussions
Recommend improvements in architectural design
Recommend improvements in orchestration
Recommend improvements in automation
How You'll Work.
Team & Collaboration
Partner with computational biologists; Partner with translational scientists; Partner with data scientists; Partner with technology organizations; Partner with AI&D organizations; Work with technology organization; Work with AI&D; Work with other R&D functions; Cross-functional technical projects
Communication Scope
Communication skills
Process & Methodology
Requirements management, Operational aspects management, Delivery management, Communication management
Full Job Description
## **Career Category** Clinical Development ## ## **Job Description** **Location:** Amgen India office, Hyderabad **Employment type:** Full-time **Department / Team:** Computational biology team in Precision Medicine **High level role** We are seeking a technically strong and strategically minded **Manager & Tech Lead, Translational Data Engineering & AI, **to own the design, implementation, and operational excellence of biomarker and associated clinical data ingestion pipelines into the precision medicine data and analytics platform. This role partners with computational biologists, translational scientists, data scientists and the technology & AI&D organizations to ensure timely, accurate, and standardized ingestion of biomarker assay data and clinical data into production systems that support biomarker analysis, visualization, and machine-learning & AI use cases for clinical trials. **Key responsibilities** * Independently lead the end-to-end design, development, and operation of data ingestion pipelines that prepare biomarker and clinical data for downstream analytics, visualization, and machine learning models * Design and implement AI enabled tools for maximal automation and troubleshooting of data ingestion processes * In coordination with the technology organization, define, design and implement metadata curation & management tools * Lead the configuration and setup for MCP servers to manage data interfaces * Serve as an SME for agentic orchestration frameworks pan R&D, working close with technology, AI&D and other R&D functions * Manage requirements, operational aspects, delivery, and communication associated with data ingestion pipeline development and program support on biomarker objectives. * Manage a team of data ingestion engineer independent contributors and provide technical leadership, drive best practices on software engineering. * Collaborate with internal biomarker labs, contract research organizations, and third party labs to onboard new assays,
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