Senior Clinical Data Scientist

2 days ago

hubballi, India beBeeStatistical Full time

Job DescriptionWe are seeking a skilled Statistical Programmer to join our team. As a key member of the data management team, you will be responsible for developing, validating and maintaining ADaM datasets, TLFs, and other analytical outputs for clinical trials.Key Responsibilities:Develop, validate and maintain ADaM datasets, TLFs, and other analytical outputs for clinical trials.Support Oncology studies by ensuring accuracy, consistency and regulatory compliance in all programming deliverables.Contribute to ISS/ISE activities, including dataset integration, analysis and documentation.Work closely with statisticians, data managers and clinical teams to ensure timely and quality delivery.Assist in regulatory submissions and RTQs, providing clear, traceable and compliant programming outputs.Collaborate in an agile environment, participating in sprint meetings, planning and continuous improvement discussions.Work with internal tools and platforms, following established standards and governance.Troubleshoot data/programming issues and propose process enhancements.Ensure adherence to CDISC standards, good programming practices and audit-ready documentation.Required Skills & QualificationsTo succeed in this role, you will need the following skills and qualifications:4-14 years of industrial experience.Proficiency in R programming.Intermediate candidates with strong learning intent and ability to upskill quickly will also be considered.Solid experience in SAS programming, especially in a clinical/biostatistics environment.Hands-on expertise in ADaM dataset development and TLF programming.Good understanding of CDISC standards and clinical trial data flow.Strong problem-solving skills, attention to detail and ability to work in cross-functional teams.BenefitsAs a member of our team, you can expect:Opportunity to work on impactful Oncology research with global teams.Continuous learning and upskilling environment.Collaborative, agile work culture.Exposure to end-to-end statistical programming lifecycle and regulatory submissions.OthersThis is a great opportunity to develop your skills and advance your career in statistical programming.

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