Clinical Data Enablement Manager

Veramed; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Veramed in India is seeking a data engineer to support end-to-end clinical data pipelines across lake/warehouse environments. You will build and monitor cloud ETL/ELT pipelines (AWS/Azure), implement automation for ingestion and quality checks, and design dashboards for data health and operational reporting.

You will collaborate with downstream teams to provide datasets in required formats and cadence, contribute to KPI tracking, and help maintain documentation and audit-ready evidence.

Qualifications

• BS/BA (or equivalent) plus 5+ years in data engineering, pipeline development/operations, and multi-source data integration (clinical/biopharma preferred).
• Foundational SQL skills with basic data modeling and data quality checks; NoSQL exposure a plus.
• Proficiency in Python (preferred) or R; experience building/supporting pipelines with testing, logging, and monitoring; Jira/Confluence familiarity.

Responsibilities

• Support end-to-end clinical data pipelines across lake/warehouse environments to ensure stable operations.
• Develop and enhance cloud ETL/ELT pipelines (AWS/Azure) for ingestion, transformation, and delivery.
• Implement automation for scheduling, repeatable ingestion, and automated quality checks.
• Design and maintain operational dashboards to monitor pipeline health and data quality for stakeholders.
• Collaborate with downstream teams to deliver datasets/exports in required formats and cadence.
• Track and report operational KPIs through dashboards and metrics; assist with incident triage and root cause analysis.
• Follow documented change control and GLP/GxP-like practices; maintain traceability and audit trails.

Skills

SQL

Data Modeling

Data Quality Checks

Python

NoSQL

ETL/ELT Pipelines

Jira/Confluence

Power BI/Tableau

CSV/JSON/XML

GitHub/GitLab

CI/CD basics

Communication

Education

BS/BA in related field

Tools

Snowflake

Databricks

Spark

AWS

Azure

Job description

Veramed is a Biometric CRO with core expertise in Statistics and Programming. We are also expanding into Data Management and are currently setting up dedicated Data Management teams across India, the US, and the UK.

Veramed was founded in 2012 by Matthew Jones (Statistical Programmer) and Emma Jones (Statistician). With over 13 years in the industry, we currently have 750+ employees globally, including contractors, and operate across multiple locations.

We have three offices in the UK (with our headquarters in Twickenham, near London), two offices in Ukraine, and a presence in Spain, Germany, France, and the US.

Our India operations began in March 2024, and over the past 30 months, we have grown to 180 employees (including contractors). Our Bangalore office is located near MG Road Metro Station.

We maintain a strong staff retention rate of 92–93%, reflecting our focus on valuing employees, offering fair compensation, continuous learning and growth opportunities, flexibility, and a healthy work–life balance.

Website: https://veramed.com/

About the Role

Support end-to-end clinical data pipelines across lake/warehouse environments (build, run, monitor, maintain, troubleshoot) to ensure stable, traceable operations. Assist with operational support activities including monitoring/alerting, incident triage, root cause analysis support, and implementing corrective/preventive actions under guidance. Develop and enhance cloud ETL/ELT pipelines (AWS/Azure) for ingestion, transformation, and delivery, following established patterns and standards. Implement automation for scheduling, repeatable ingestion, and automated 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 for stakeholders. Support vendor and cross-functional integrations by implementing data transfers per specifications, performing validation/reconciliation, and escalating issues as needed. Collaborate with downstream teams (Stat Programming, SDTM, Analytics, Clinical Data Programming) to understand data needs and deliver required datasets/exports (format, structure, cadence). Contribute to on‑time, high‑quality delivery against agreed specifications and participate in tracking and reporting operational KPIs (e.g., timeliness, success rate, defects) through dashboards and metrics. Follow controlled documentation and change practices for regulated clinical processes; support GxP/CSV activities by maintaining required documentation, test evidence, and traceability as assigned. Apply data integrity practices (e.g., ALCOA+ expectations per internal standards) and adhere to access controls and audit trail/logging requirements in collaboration with Quality/Compliance/IT.

Responsibilities

• Support end-to-end clinical data pipelines across lake/warehouse environments (build, run, monitor, maintain, troubleshoot) to ensure stable, traceable operations.
• Assist with operational support activities including monitoring/alerting, incident triage, root cause analysis support, and implementing corrective/preventive actions under guidance.
• Develop and enhance cloud ETL/ELT pipelines (AWS/Azure) for ingestion, transformation, and delivery, following established patterns and standards.
• Implement automation for scheduling, repeatable ingestion, and automated 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 for stakeholders.
• Support vendor and cross-functional integrations by implementing data transfers per specifications, performing validation/reconciliation, and escalating issues as needed.
• Collaborate with downstream teams (Stat Programming, SDTM, Analytics, Clinical Data Programming) to understand data needs and deliver required datasets/exports (format, structure, cadence).
• Contribute to on‑time, high‑quality delivery against agreed specifications and participate in tracking and reporting operational KPIs (e.g., timeliness, success rate, defects) through dashboards and metrics.
• Follow controlled documentation and change practices for regulated clinical processes; support GxP/CSV activities by maintaining required documentation, test evidence, and traceability as assigned.
• Apply data integrity practices (e.g., ALCOA+ expectations per internal standards) and adhere to access controls and audit trail/logging requirements in collaboration with Quality/Compliance/IT.

Qualifications

• Education/Experience: BS/BA (or equivalent) plus 5+ years in data engineering, pipeline development/operations, and multi-source data integration (clinical/biopharma preferred).

Required Skills

• Core skills: Foundational SQL skills; understanding of basic data modeling and data quality checks; familiarity with integration patterns (NoSQL exposure a plus).
  
• Programming/SDLC: Proficiency in Python (preferred) or R; exposure to building/supporting pipelines with basic testing, logging, and monitoring; familiarity with Agile/SDLC concepts; Jira/Confluence experience preferred (or ability to learn quickly).
• Visualization & Reporting (for Reporting role): Hands‑on experience designing and supporting operational dashboards and data visualizations using tools such as Power BI, Tableau, and/or QlikView, with an understanding of data refresh, access controls, and performance considerations.
• Data formats & Interfaces: Hands‑on with CSV, JSON, XML and file/API-based integrations; able to follow transfer specifications and validate outputs.
• DevOps: Working knowledge of GitHub/GitLab version control; CI/CD exposure is a plus.
• Ways of working / working style: Strong collaboration and communication; organized, detail oriented, proactive; able to prioritize tasks, follow guidance, and deliver to deadlines in a fast‑paced environment.

Preferred Skills

• Data standards (preferred): Awareness of CDISC/CDASH/SDTM concepts and willingness to learn how standards impact downstream clinical deliverables.
• Cloud/platforms (preferred): Exposure to AWS and/or Azure and modern data platforms (e.g., Snowflake, Databricks, Spark); ability to implement within established frameworks and standards.
• GxP & Data integrity (preferred): Experience or exposure to GxP-regulated practices (documentation, change control, audit readiness) and understanding of data integrity expectations; able to follow controlled procedures and maintain required evidence.
• Preferred: Prior regulatory inspection/audit support experience; AWS/Azure and/or Python certification.