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Global drug and device development services

Clinical Data Engineer

Data EngineeringPosted on Nov 13
Full-timeChennai, Tamil Nadu, IndiaNo salary listedRemote

About the Job

Requirements

  • A BS/BA or equivalent, plus at least 5 years in data engineering, pipeline development or operations, and multi-source data integration; clinical or biopharma experience is preferred.
  • Foundational SQL skills and an understanding of basic data modeling and data quality checks; NoSQL exposure is a plus.
  • Proficiency in Python or R, exposure to building or supporting pipelines with basic testing, logging, and monitoring, and familiarity with Agile/SDLC concepts.
  • Hands-on experience designing and supporting operational dashboards and data visualizations with Power BI, Tableau, and/or QlikView, including understanding of data refresh, access controls, and performance considerations for the reporting role.
  • Hands-on experience with CSV, JSON, XML, and file/API-based integrations, and ability to follow transfer specifications and validate outputs.
  • Working knowledge of GitHub or GitLab version control; CI/CD exposure is a plus.
  • Strong collaboration and communication; organization, attention to detail, proactivity, ability to prioritize tasks, follow guidance, and meet deadlines in a fast-paced environment.
  • Advanced Python or R, SQL, and understanding of clinical data standards are described as mandatory.
  • Ability to troubleshoot data-transfer issues and communicate effectively with business and downstream stakeholders.
  • Legal right to work in the country where the role is based.

Responsibilities

  • Support end-to-end clinical data pipelines across lake and warehouse environments by building, running, monitoring, maintaining, and troubleshooting them to ensure stable, traceable operations.
  • Support operational activities including monitoring and alerting, incident triage, root-cause-analysis support, and implementing corrective and preventive actions under guidance.
  • Develop and enhance cloud ETL/ELT pipelines on AWS or Azure for ingestion, transformation, and delivery, following established patterns and standards.
  • Automate scheduling, repeatable ingestion, and quality checks to improve reliability and timeliness.
  • Design, develop, and maintain operational dashboards and data visualizations using approved platforms to support pipeline-health monitoring, data-quality oversight, and operational reporting.
  • Support vendor and cross-functional integrations by implementing data transfers to specification, validating and reconciling outputs, and escalating issues as needed.
  • Collaborate with downstream teams, including Statistical Programming, SDTM, Analytics, and Clinical Data Programming, to understand data needs and deliver datasets or exports in the required format, structure, and cadence.
  • Deliver against agreed specifications on time and to quality standards, and participate in tracking and reporting operational KPIs such as timeliness, success rate, and defects through dashboards and metrics.
  • Follow controlled documentation and change practices for regulated clinical processes, and support GxP/CSV activities by maintaining required documentation, test evidence, and traceability as assigned.
  • Apply data-integrity practices, including ALCOA+ expectations per internal standards, and adhere to access controls and audit-trail/logging requirements in collaboration with Quality, Compliance, and IT.

Desired Qualifications

  • Clinical or biopharma experience.
  • Jira or Confluence experience, or ability to learn them quickly.
  • Awareness of CDISC, CDASH, and SDTM concepts and willingness to learn how standards affect downstream clinical deliverables.
  • Exposure to AWS and/or Azure and modern data platforms such as Snowflake, Databricks, or Spark, with ability to implement within established frameworks and standards.
  • Experience or exposure to GxP-regulated practices, including documentation, change control, and audit readiness, and understanding of data-integrity expectations.
  • Prior regulatory inspection or audit support experience.
  • AWS/Azure and/or Python certification.
  • Experience building data pipelines with AWS services such as EMR, S3, Glue, and RDS, and hands-on pipeline development and deployment using CI/CD and GitHub Actions.
  • Experience with file-based SFTP integrations involving Databricks/Delta Lake.
  • Experience integrating with Veeva CDB and Elluminate/JReview clinical data platforms.
  • Tableau is the preferred strategic data-visualization tool.

About the Company

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Global drug and device development services

This company provides consulting, development, and commercialization support for drugs and medical devices through a global network of offices. Its team across 53 countries offers end-to-end services, from strategy and regulatory work to manufacturing and market access, helping clients shorten development time, lower costs, and raise quality. It differentiates itself with wide geographic reach and a clear focus on reducing time to market and cost while leveraging deep experience across many therapeutic areas. Its goal is to help clients accelerate the development of life-saving products and improve quality of life by delivering reliable information, practical solutions, and solid performance.

Company size
10,001+
Company stage
IPO
Headquarters
Ireland
Founded
1990

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