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Amgen
Amgen

Data Engineer, Translational Data Management, Automation & AI

India - Hyderabad
8+ years exp
Full-time
Posted 2d ago
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Job Description

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 new assays; author and maintain data transfer specifications, interface control documents, and acceptance criteria. 

  • Build and maintain harmonization and mapping logic (units, controlled terminology,) 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 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.

 

.

Frequently Asked Questions

How to apply for Data Engineer, Translational Data Management, Automation & AI at Amgen?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

Salary details will be discussed during the interview.

What experience is required?

8+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

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Amgen

Amgen

About | Amgen --> M Action Class" href="/"> M Action Class"> Main Menu About Overview Amgen History Mission and Values Leadership Brand Partners Amgen Foundation Awards and Accolades Therapy Areas Cardiovascular Metabolic Bone Health Inflammation Oncology How We Operate Overview Corporate Governance Business Ethics and Compliance Policies, Practices and Disclosures Science Overview Research & Development Strategy Overview Human & Disease Biology Novel Targets & Modalities Clinical Trial Optimization AI & Data Science Pipeline Scientific Advisory Boards Biosimilars Clinical Trials Overview Abou

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Data Engineer, Translational Data Management, Automation & AI

Amgen · India - Hyderabad

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