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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 Bachelors 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.