Overview

Joining: Immediate Joiners / Candidates with short notice period

Responsibilities

• Develop and maintain data pipelines and ETL/ELT processes for clinical trial and RBQM data.
• Integrate data from multiple sources such as EDC, CTMS, eTMF, safety systems, laboratory systems, and other clinical data sources.
• Perform data extraction, transformation, validation, cleansing, and aggregation.
• Develop APIs and backend services for RBQM applications.
• Build and maintain web-based dashboards and analytical interfaces.
• Support development of RBQM capabilities such as:
• Study Risk Assessment
• Site Risk Assessment
• Subject Risk Assessment
• KRI / QTL monitoring
• Threshold breach monitoring
• Risk trends and analytics
• Signal detection and alerts
• High-risk study/site dashboards
• Implement data validation and quality checks to ensure data accuracy and consistency.
• Work with business analysts, clinical/RBQM SMEs, and product teams to understand requirements and convert them into technical solutions.
• Optimize database queries and application performance.
• Participate in application testing, debugging, deployment, and production support.
• Prepare technical documentation for data pipelines, APIs, database structures, and application components.

Qualifications

• Joining: Immediate Joiners / Candidates with short notice period
• Employment Type: Full-Time
• Domain: Clinical Research / Risk-Based Quality Management (RBQM)
• Location: [Ahmedabad / Remote / Hybrid – as applicable]
• About the Role
• We are looking for a Data Engineer / Full Stack Developer with 2–4 years of experience to join our technology team working on Risk-Based Quality Management (RBQM) solutions for clinical trials.
• The candidate will be responsible for developing data pipelines, data processing components, APIs, dashboards, and web applications that support clinical study risk assessment, monitoring, analytics, and reporting.
• The ideal candidate should have a good combination of data engineering, backend/full-stack development, SQL, and clinical/RBQM domain understanding.
• Strong SQL skills.
• Good understanding of data modeling and database design.
• Familiarity with REST APIs and data integration.
• Understanding of HTML, CSS, JavaScript/TypeScript.
• Understanding of authentication, authorization, and application security.
• Exposure to AWS, Azure, or GCP.
• Familiarity with cloud databases/storage and deployment environments.
• Basic understanding of Git, CI/CD, Docker, or Kubernetes is desirable.
• Risk-Based Quality Management (RBQM)
• Risk-Based Monitoring (RBM)
• Key Risk Indicators (KRIs)
• Quality Tolerance Limits (QTLs)
• Critical Data / Critical Processes
• Study and Site Risk Assessment
• Risk Signals and Thresholds
• Centralized Monitoring
• Clinical Trial data and operational data
• Knowledge of the following concepts will be an advantage:
• 2–4 years of relevant software/data engineering experience.
• Strong analytical and problem-solving skills.
• Good understanding of databases, APIs, and data processing.
• Ability to work across both data engineering and application development.

Education

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• Preferred Candidate
• Immediate joiners or candidates who can join within 0–15 days are strongly preferred.
• Candidates with 2–4 years of experience + RBQM/Clinical domain exposure + strong SQL/Python + Full Stack/API development experience are encouraged to apply.
• Pay: ₹381,757.12 - ₹1,638,592.78 per year

Benefits

• Paid time off