Job Title: Advanced Clinical Data Science DeveloperDevelop innovative programming solutions for clinical trial data analysis, ensuring integration into the overall data management process.Key Responsibilities:Design, validate, and maintain programming solutions for CDMS, data validation outputs, data review/risk management outputs, custom reports, and programs in clinical trials.Collaborate with data managers, project managers, clinical data scientists, and biostatisticians to ensure seamless integration of programming solutions.Act as primary point of contact during study setup and maintenance phase for system programming-related questions by the project team.Support colleagues with clinical trials environment and concepts of Clinical Data Management Systems.Perform data extracts from CDMS and creation of data transfer programs.Mentor junior programmers and provide guidance on programming best practices, coding standards, and data quality control measures.Stay updated on advancements in programming languages and data management tools to enhance operational efficiencies.Requirements:Complete bachelor's degree in relevant field such as computer science, SAS, statistics, or life sciences.Extensive experience in programming for CDMS (EDC systems such as Rave/Veeva), data validation outputs, data review/risk management outputs, custom reports, and programs in clinical trials with proficiency in languages such as SAS, R, or Python.Strong problem-solving skills and ability to work collaboratively in fast-paced, cross-functional environment.Excellent attention to detail and organizational skills, with commitment to delivering high-quality results.Strong communication and interpersonal skills, with ability to effectively collaborate with diverse teams and influence outcomes.Must have advanced English communication, writing, and reading skills.Benefits:Opportunity to work on challenging projects and develop expertise in clinical data science programming.Collaborative and dynamic work environment with experienced professionals.Continuous learning and professional development opportunities.