Data Engineer Translational Data Management Automation & AI

**Career Category** ------------------- Clinical **Job Description** ------------------- **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**  * **Experience working with clinical labs, biomarker assays (immunoassay, flow cytometry, immunohistochemistry, proteomics, whole genome sequencing, exome sequencing, RNA-seq, methylation, metabolomics)**  * **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).**  * Familiarity with data standardization and harmonization frameworks, controlled vocabularies  * Experience building, testing and debugging R pipelines for production data processing.  .