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. . Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen