**Location:** Amgen India office, Hyderabad **Employment type:** Full time **Department / Team:** Computational Biology team, Precision Medicine **High-level role** We are seeking a hands-on, technically strong **Translational Data Management, Automation, & AI Engineer** to design, build, and operate robust biomarker and clinical data ingestion pipelines that feed our biomarker platform. You will work closely with computational biologists, translational scientists, data scientists, lab operations, and external vendors/contract research organizations (CROs) to ensure timely, accurate, and standardized ingestion of assay and clinical data for analysis, visualization, and machine-learning use cases supporting clinical trials. **Key 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. **Required qualifications** **Education & experience** + 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. **Technical skills** + **Strong programming skills in Python and database design. Experience with Databricks** + **Experience with workflow/orchestration tools (e.g., Airflow, Nextflow, snakemake).** + **Experience with agentic automation and formulation of AI workflow development and deployment, agentic automation tools and Codex workflows.** + **Familiarity with HPC, cloud platforms and storage (e.g., AWS) and best practices for secure data handling.** + **Experience with version control (Git), CI/CD, containerization (Docker)** + **Knowledge of clinical data formats and standards (e.g., CDISC/SDTM/ADaM).** + **Experience working with clinical labs, biomarker assays (immunoassay, flow cytometry, immunohistochemistry, proteomics, whole genome sequencing, exome sequencing, RNA-seq, methylation, metabolomics)** + Familiarity with data standardization and harmonization frameworks, controlled vocabularies + Experience building, testing and debugging R pipelines for production data processing.

📌 Translational Data Management, Automation, & AI Engineer (Hyderabad)
🏢 AMGEN
📍 Hyderabad