Translational Data Management, Automation, & AI Engineer
Amgen · Hyderabad · onsite · Posted 71d ago
Undisclosed9–12 yrsfulltimeSourced from
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About this role
Location:Amgen India office, Hyderabad
Employment type:Full-time
Department / Team:Computational Biology team, Precision Medicine
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
- 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).
- 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,testingand debugging R pipelines for production data processing.
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Skills
EngineeringDockerDatabase Designclinical dataclinical researchenvironmentcdamazon web servicesProgrammingAnalyticsDatabricksData EngineeringPythonDesignData ManagementGITCi/CdArtificial Intelligence
About Amgen
Amgen
Biotechnology
1.5k+
employees
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46 years old
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