This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Clinical Data Engineer Pharma/CRO based in India.
As a Clinical Data Engineer, you will play a critical role in designing and optimizing data engineering solutions that support global clinical research and regulatory compliance. Working at the intersection of technology, clinical operations, and analytics, you will transform complex clinical trial data into standardized, high-quality datasets that enable informed decision-making and accelerate research outcomes. This role offers the opportunity to collaborate with multidisciplinary teams while leveraging modern data engineering practices, clinical data standards, and scalable architectures. You will contribute to innovative solutions that enhance data quality, operational efficiency, and regulatory readiness across multiple studies. If you are passionate about clinical research, data engineering, and building robust data platforms, this is an excellent opportunity to make a meaningful impact.
Accountabilities:
- Design, develop, and optimize scalable clinical data engineering solutions that support global clinical trials, regulatory compliance, and advanced analytics.
- Build and maintain robust data models, data warehouses, and governed data pipelines using best practices for scalability, traceability, and audit readiness.
- Develop and optimize SQL queries, stored procedures, and Python-based data processing workflows to improve performance and operational efficiency.
- Standardize clinical data by implementing CDISC-compliant mapping strategies, ensuring consistency across SDTM and ADaM datasets.
- Design automated data validation frameworks to identify, investigate, and resolve data quality issues while maintaining high standards of integrity and accuracy.
- Collaborate with Biostatistics, Clinical Operations, Regulatory Affairs, and cross-functional stakeholders to translate clinical requirements into reliable technical solutions.
- Support reporting, dashboards, and operational analytics by delivering curated, high-quality datasets and maintaining comprehensive technical documentation aligned with regulatory requirements.
- Mentor team members, promote engineering best practices, and contribute to continuous process improvements across data engineering initiatives.
Requirements
- Bachelor's degree in Life Sciences, Computer Science, Data Engineering, Statistics, or a related discipline, or equivalent professional experience.
- Minimum of 5 years of experience in data engineering, preferably within the pharmaceutical, biotechnology, clinical research, or CRO industry.
- Strong proficiency in SQL and Python for data engineering, transformation, and performance optimization.
- Working knowledge of SAS and R is desirable.
- Solid understanding of clinical trial processes, study protocols, case report forms (CRFs), and clinical data management workflows.
- Strong knowledge of CDISC standards, including SDTM and ADaM.
- Experience designing data models, data warehouses, ETL processes, and scalable data architectures.
- Familiarity with regulatory requirements including Good Clinical Practice (GCP), FDA 21 CFR Part 11, and inspection-ready documentation.
- Excellent analytical, organizational, problem-solving, and communication skills with the ability to collaborate across multidisciplinary teams.
- Previous experience as a Clinical Data Engineer or Clinical Programmer within a CRO environment is highly preferred.
- Experience supporting integrated risk planning and clinical data governance initiatives is considered an advantage.
Benefits
- Opportunity to work on global clinical research projects that contribute to advancing healthcare and pharmaceutical innovation.
- Collaborative and inclusive work environment with strong cross-functional teamwork.
- Exposure to cutting-edge clinical data engineering technologies, analytics, and regulatory data standards.
- Professional development opportunities with continuous learning and career growth support.
- Opportunity to work alongside experienced professionals across clinical operations, biostatistics, regulatory affairs, and data engineering.
- Flexible work arrangements where applicable to support work-life balance.
- Competitive compensation and comprehensive employee benefits in accordance with company policies.
- Meaningful work that directly supports the delivery of high-quality clinical research and improved patient outcomes.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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