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Senior leadership role in specialized clinical data engineering at a Tier-1 biotech reduces applicant density.
Clinical trials domain expertise and biotech regulatory knowledge limit cross-industry transferability.
Mandatory 12-16 years and specific cloud, Databricks, and language requirements create strict shortlisting filters.
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Design, develop, and deploy end-to-end data pipelines and systems for clinical data domain to support clinical trial design and development at Amgen.
Manage and support AWS, Databricks, RStudio platform and cloud AI-based system production DevOps including integration with Kubernetes, HashiCorp Vault, and other technologies.
Collaborate with Data Architects, Business SMEs, and Data Scientists to translate clinical data requirements into product backlogs and support Agile development processes.
Master’s or Bachelor’s degree required.
12 to 16 years of relevant experience in data engineering or related fields.
Advanced proficiency in SQL, Python, and R programming languages; experience with AWS cloud and Databricks data lake technologies required.
Experience with DevOps CI/CD tools such as Git and Jenkins required; knowledge of clinical trial data standards and clinical data domain preferred.
Experienced in clinical data engineering with knowledge of biotechnology or pharmaceutical industry data workflows and clinical trial datasets.
Capable of independently leading end-to-end data engineering projects including design, development, optimization, and operational support in Agile and SAFe environments.
Skilled in deploying and maintaining scalable data pipelines and cloud-based data platforms supporting advanced analytics and AI/ML integration.