Overview

Location: Amgen India office, Hyderabad Employment type: Full-time Department / Team: Computational Biology team, Precision Medicine

Responsibilities

• Design, implement, test, deploy, and maintain end-to-end data ingestion pipelines that prepare biomarker and clinical data for downstream analytics, visualization, and ML models.
• Implement automated data validation, quality control checks, error handling, and remediation workflows to ensure data quality and traceability.
• Integrate Codex workflows, agentic automation and generative AI to meet TAT and efficiency goals.
• Collaborate with internal biomarker labs and CROs/vendors to onboard new assays; author and maintain data transfer specifications, interface control documents, and acceptance criteria.
• Build and maintain harmonization and mapping logic (units, controlled terminology, ontologies) and data models needed to standardize biomarker and clinical datasets.
• Generate study-specific analysis bundle per request in defined timeline.
• Produce and maintain clear documentation: software specification forms, data definition tables, runbooks, and onboarding guides.
• Write clean, tested, maintainable Python code and contribute to CI/CD pipelines, automated testing, and release processes.

Qualifications

• Strong programming skills in Python and database design. Experience with Databricks
• Familiarity with HPC, cloud platforms and storage (e.g., AWS) and best practices for secure data handling.
• Knowledge of clinical data formats and standards (e.g., CDISC/SDTM/ADaM).
• Familiarity with data standardization and harmonization frameworks, controlled vocabularies

Education

• 8+ years of experience with Bachelor’s in Computational Biology, Bioinformatics, AI, Computer Science, Data Engineering, or related field. PhD is a plus.
• 3+ years of experience in data engineering or platform engineering roles; experience working with biomarker/biological/clinical data or in a clinical research environment is highly desirable.