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Foster Collaboration within BDM with Biostatistics and with Statistical Programming to ensure efficiency and high quality of deliverables. Works collaboratively with clinical project managers, statistical programmers, clinical research associates, and others to meet project deliverables and timelines for clinical data acquisition, quality checking, and reporting.
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Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation. Authors and/or reviews protocol synopsis, protocol, statistical analysis plans, case-report forms, clinical study reports, associated publications, and other study level specification documents under some supervision.
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In-depth knowledge of statistical principles, applications, and SAS/R programming software. As an Associate Director, Biostatistician, you will be a champion of Otsuka's culture and values and will be responsible for providing statistical expertise/input in the drug development, including clinical development plan and regulatory submission strategy.
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Experience with general programming and data analysis tools/languages such as Python, R, Spotfire would be particularly desirable. Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, ordinary differential equations (ODEs) and how these can be applied in the development of complex models of biological pathways/systems.
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While this position is primarily focused on statistical methods research and development, it also involves close collaboration with StuDIO ( S tudy D esign Innovation and Optimization) function within Global Biometrics and Data Sciences of BMS. StuDIO's mission is to support and enable development teams to pursue optimal design/development options with sharpened focus on scientific rigor and innovation, operational feasibility, and resource efficiency across the BMS portfolio.
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The biostatistician in this role provides study-level statistical expertise in support of the design, analysis, and interpretation of clinical trials through collaboration with other team personnel including clinical research, clinical operations, data management, and programming.
$183,000 a yearExpandUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of programming (e.g. Java/Python/R); Exposure to tools/platforms (e.g. Hadoop eco system and database systems) Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information.
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Solid knowledge of Statistical Analysis System (SAS) programming and knowledge of statistical software (e.g., R, S-Plus, nQuery, EAST). Oversees implementation of statistical analyses, including data monitoring, programming and complex modeling.
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Experience in programming complex statistical analyses. Regularly interfaces with team members in R&D including Biostatistics and SAS Programming staff, Data Management, clinical research and operations teams, regulatory affairs, clinical pharmacology, medical writing, medical affairs and quality management.
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Experience in working with various eDC systems such as Oracle InForm, Medidata Rave etc. This position reports to Head of Biostatistics and Data Management (BDM) within Research and Development (R&D) Department at SPARC. Main responsibilities will include effective leadership, planning and oversight within the Clinical Data Management (CDM) function as well as facilitating collaboration across all R&D functions to ensure rigorous collection and analysis of data.
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Proven ability of overseeing EDC build, UAT, data collection, data processing, coding, validations, database lock and directing a team of data managers working across multiple studies. Participating in the selection service providers for outsourcing of CDM tasks.
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Conduct statistical programming/analyses including transfer, creation, conversion, and formatting of SAS data. Provide statistical/programming support for responses to regulatory authorities related to submission reviews.
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Knowledge of statistical programming, particularly STATA. Knowledge of statistical programming, particularly STATA. Section research staff also engage in professional development and social activities with research staff members in other Economics units and related units in the School for Public and International Affairs.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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A proficiency in at least one programming language (e.g., Java/Python/R). Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
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Working knowledge of scientific computing/programming (SAS, R or C. The Director of Statistical Methodology works closely with Head of Statistical methodology to implement vision and strategy of Statistical Methodology function within Global Biostatistics and Data Science organization.
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statistical programming jobs in Princeton, NJ
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