Data Engineer, Translational Data Management, Automation & AI

Amgen Technology; Hyderabad; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

Amgen India in Hyderabad seeks a hands-on Translational Data Management, Automation, AI Engineer to design, build, and operate robust biomarker and clinical data ingestion pipelines for analytics and ML in clinical trials.

You will collaborate with computational biologists, translational scientists, data scientists, labs and CROs to ensure timely, accurate, and standardized data ingestion and to support visualization and model development.

Qualifications

• 8+ years of experience in computational biology, bioinformatics or data engineering.
• 3+ years in data/platform engineering; clinical data experience desirable.
• Strong Python programming and database design; experience with Databricks.
• Proficiency with workflow tools: Airflow, Nextflow, Snakemake.
• Experience with agentic automation and AI workflow deployment.
• Familiarity with HPC, cloud platforms (AWS) and secure data handling.
• Version control with Git; CI/CD and Docker containerization.
• Knowledge of CDISC/SDTM/ADaM data standards.
• Experience building, testing and debugging R pipelines for production data processing.

Responsibilities

• Design and maintain end-to-end data ingestion pipelines for biomarker and clinical data.
• Implement automated data validation, QC checks, and remediation workflows.
• Integrate Codex workflows, agentic automation and generative AI to improve TAT.
• Collaborate with labs and CROs to onboard assays and write data transfer specs.
• Build data models and mapping logic for standardization.
• Produce study-specific analysis bundles on defined timelines.
• Write clear documentation: specs, data definitions, runbooks, onboarding guides.
• Write clean Python code and contribute to CI/CD pipelines and testing.

Skills

Python

Databricks

Airflow

Nextflow

Snakemake

Docker

Git

CI/CD

HPC

Education

Bachelor's in Computational Biology/Bioinformatics/AI/CS/Data Engineering

PhD (preferred)

Tools

Docker

Git

Databricks

Job description

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

High-level role

We areseekinga hands-on, technically strongTranslational Data Management, Automation, AI Engineerto 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, andmaintainend-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, agenticautomationand generative AI to meet TAT and efficiency goals.

• Collaborate with internal biomarker labs and CROs/vendors to onboard new assays; author andmaintaindata transfer specifications, interface control documents, and acceptance criteria.

• Build andmaintainharmonization and mapping logic (units, controlled terminology, ontologies) and data models needed to standardize biomarker and clinical datasets.

• Generatestudy-specific analysis bundle per request indefinedtimeline.

• Produce andmaintainclear 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 Bachelors in Computational Biology, Bioinformatics,AI,Computer Science, Data Engineering, or relatedfield. 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 workflowdevelopment and deployment, agentic automationtoolsand 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,testingand debugging R pipelines for production data processing.