
Posted 6 hours ago
Senior Manager & Tech Lead, Translational Data Engineering & AI
Amgen
Requirements
Bachelor's or Master's in Computational Biology, Bioinformatics, or Computer Science, 10+ years in data or platform engineering, 2-3 years in biomarker or clinical data ingestion, Proficiency in Python and database design, Experience with Databricks and AWS, Knowledge of workflow tools like Airflow or Nextflow, Familiarity with CDISC/SDTM/ADaM standards, Experience with containerization and CI/CD
Skills
PythonDatabricksAWSDockerAirflowGit
About the role
Responsibilities
- Lead the end-to-end design, development, and operation of data ingestion pipelines for biomarker and clinical data.
- Design and implement AI-enabled tools to automate and troubleshoot data ingestion processes.
- Manage a team of data ingestion engineers, providing technical leadership and driving software engineering best practices.
- Define and implement metadata curation and management tools in coordination with the technology organization.
- Serve as a Subject Matter Expert (SME) for agentic orchestration frameworks across R&D functions.
- Collaborate with internal labs and contract research organizations to onboard new assays and establish data transfer specifications.
- Implement data validation and quality control checks to remediate ingestion failures and data quality issues.
- Contribute to platform architecture discussions and recommend improvements in orchestration and automation.
Requirements
- Bachelor's or Master's degree in Computational Biology, Bioinformatics, Computer Science, Data Engineering, or a related field (PhD preferred).
- 10+ years of experience in data or platform engineering, with 2–3 years specifically focused on biomarker or clinical data ingestion.
- Proficiency in Python and database design, with hands-on experience using Databricks.
- Experience with workflow orchestration tools such as Airflow, Nextflow, or Snakemake.
- Strong knowledge of cloud platforms (AWS), HPC, and secure data handling practices.
- Experience with version control (Git), CI/CD, and containerization (Docker).
- Familiarity with clinical data standards including CDISC, SDTM, and ADaM.
- Experience working with various biomarker assays (e.g., proteomics, sequencing, flow cytometry).
- Proven track record of leading cross-functional technical projects and mentoring engineers.
About the Company
Amgen is a leading biotechnology company dedicated to unlocking the potential of biology to serve patients with serious illnesses. By leveraging advanced human genetics and biologics manufacturing expertise, Amgen discovers and delivers innovative human therapeutics to improve health outcomes and lives worldwide.
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Get started — it's freeSenior Manager & Tech Lead, Translational Data Engineering & AI
Amgen · Hyderabad
