Job Title

Seeking Immediate Joiners or Notice Periods Less Than 15 Days!We are looking for a Clinical Data Analyst who has hands‑on experience analyzing and interpreting clinical trial data to generate insights and support decision‑making.This role is not focused on clinical data management, systems administration, SDTM/CDISC programming, ETL pipelines, or dashboard‑only reporting. Instead, you will work with existing clinical trial datasets to validate analytical outputs, identify gaps or inconsistencies, and make reasoned recommendations based on what the data shows (and what it does not).If your strength is asking “Does this data make sense, and what should we do with it?” rather than “How do I load or standardize this data?”, this role is for you.What You’ll DoAnalyze clinical trial datasets across the trial lifecycle to support insight generation and decision‑makingValidate data outputs and analytical logic, identifying gaps, inconsistencies, or data quality limitationsInterpret trial outcomes, such as efficacy, safety, endpoints, survival metrics, or response dataCompare different analytical approaches and clearly explain pros, cons, and recommendationsWork with clinical data sources (including CTMS data as a data consumer, not system implementer) to assess completeness and usabilityIndependently explore datasets during early analysis phases and surface meaningful insightsCommunicate findings clearly through Excel, written summaries, and PowerPoint for cross‑functional stakeholdersCollaborate with product, analytics, or data engineering teams by providing analytical judgment and feedback, not by building pipelinesWhat We’re Looking For (Must‑Have)3–6 years of experience working analytically with clinical trial data in pharma, biotech, CRO, or clinical research environmentsHands‑on experience interpreting clinical trial datasets, not just managing or cleaning themStrong understanding of clinical trial concepts (trial phases, arms, endpoints, inclusion/exclusion criteria, outcomes)Demonstrated ability to identify data issues and explain their impact on analysis or decisionsExperience validating data outputs and analytical logicWorking knowledge of SQL for analysis (querying, validating results)Strong communication skills — able to explain insights, assumptions, and limitations clearlyNice to HaveExperience with oncology or other complex therapeutic areasExposure to real‑world data (RWD) or trial intelligence / landscape analysisFamiliarity with Python for exploratory analysisExperience working with global or cross‑functional teamsWhat This Role Is NotTo be very clear, this role is not focused on:❌ SDTM / CDISC / ADaM programming❌ Clinical data management (CDM), query management, database lock, or UAT❌ ETL, data pipelines, or data engineering❌ CTMS, EDC, or system implementations/configurations❌ BI‑only roles focused primarily on dashboards without clinical trial interpretationProfiles primarily centered on clinical operations, monitoring, or systems support will not be a fit.What a Strong Candidate Looks LikeHas worked directly with clinical trial data and can explain what the data means, not just where it comes fromComfortable challenging data outputs and asking “Is this accurate, complete, and meaningful?”Can clearly articulate recommendations based on analysisOperates independently and thrives in open‑ended analytical work