Job Title

Role: Clinical Analyst (Clinical Data & Analytics Platforms) Location: Nagpur, Maharashtra - Onsite Office Duration: Fulltime Experience: 3 to 5 years only Working Hours: UK time shift Notice Period: Immediate or 15 days max Role Overview: We are seeking Clinical Analyst to support validation and quality assurance of clinical data and analytics platforms. This role plays a key part in ensuring that clinical systems and reporting solutions deliver accurate, reliable, and high-quality outputs to clinicians. This opportunity for early-career professionals to work at the intersection of clinical research, data, and technology, while gaining exposure to enterprise-scale platforms and real-world clinical workflows. Key Responsibilities: Support User Acceptance Testing (UAT) activities for clinical data and analytics platforms. Execute test cases and scenarios aligned with clinical workflows and business requirements. Validate data accuracy, completeness, and consistency across reports and dashboards. Perform data comparisons and result verification to ensure expected outcomes. Identify, document, and track defects, ensuring clarity and completeness. Collaborate with Clinical Programmers, Data Managers, and cross-functional teams during testing cycles. Maintain test documentation and evidence in compliance with quality standards Follow established processes and guidelines to ensure consistency and audit readiness. Required Skills & Experience: 1–2 years of experience in clinical trials, clinical data review, or system testing/UAT Basic understanding of clinical trial processes and data workflows Exposure to software testing or UAT methodologies Familiarity with data analysis or reporting tools (e.G., Spotfire or similar) Strong attention to detail and analytical thinking Exposure to clinical data standards (e.G., SDTM, ADaM) Basic knowledge of SAS, SQL, or data querying concepts Experience working with defect tracking tools (e.G., JIRA or similar) Understanding of quality and compliance practices (e.G., GxP) Preferred Qualifications: Bachelor’s degree in Life Sciences, Clinical Research, Biotechnology, or related field Good written and verbal communication skills Nice to Have