Senior Data Scientist

K&K Global Talents is an international recruiting agency that has been providing technical resources globally since 1993. This position is with one of our clients in India who is actively hiring candidates to expand their teams.Title: Senior Data Scientist Location: Pune, Mohali, Gurugram, Navi Mumbai, Bangalore, Hyderabad, NoidaEmployment Type: Full-time PermanentMode of Operation: Onsite Notice Period: 0 - 15 DaysShift: Night ShiftRole We are seeking an experienced Clinical Data Scientist to lead advanced analytics initiatives across clinical studies. This role requires strong expertise in statistical modeling, machine learning, and clinical data analysis within regulated environments. The ideal candidate will translate complex clinical data into actionable insights while ensuring compliance with industry standards.Responsibilities1. Clinical Analytics LeadershipLead complex analytics across clinical datasets and studiesTranslate ambiguous problems into structured analytical approachesDeliver statistically rigorous, decision-ready insights2. Stakeholder EngagementCollaborate with clinical, biometrics, and cross-functional teamsGather and refine requirements; align on deliverablesManage communication, expectations, and reporting3. Statistical & Machine Learning ModelingDesign and implement statistical models and ML algorithmsEnsure model interpretability, robustness, and regulatory defensibility4. Clinical & Pharmacology Data IntegrationAnalyze relationships between clinical outcomes and exposure-response/pharmacology data5. Data Engineering & PipelinesPerform data wrangling, feature engineering, and pipeline developmentWork with distributed/cloud environments (e.g., Microsoft Fabric, Spark)Build scalable, production-quality, reproducible code6. Clinical Data Standards & ComplianceWork with structured clinical data models and standardsEnsure outputs meet regulatory, audit, and quality requirements7. Communication & StorytellingPresent insights through clear narratives and visualizationsTranslate complex analytics into business decisions8. Team ContributionCollaborate in a matrix environment and mentor junior membersContribute to best practices and continuous improvementRequired Skills8+ years in Data Science / Machine LearningProven experience in clinical research analyticsStrong expertise in statistical modeling and ML in clinical/healthcare settingsProficiency in Python or RExperience with large-scale data processing (e.g., Spark)Hands-on experience with clinical datasets (late-stage preferred)Familiarity with clinical data standards/modelsStrong stakeholder management and communication skillsAbility to work independently and drive outcomesPreferred SkillsExperience in Oncology, Dermatology, or HematologyExpertise in survival analysis, time-to-event, and longitudinal modelingExperience with interpretable machine learningStrong data visualization capabilities

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