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As The Director, Statistical Programming, you will be a champion of Otsuka's culture and values and serve in a leadership role within the Statistical Programming group. Serve as the in-house expert and key advisor to head of the Statistical Programming group on the programming strategy by providing assessment of state-of-art and industry trends in ways of working, efficient coding such as macro library and utility macros, and technology.
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Collaborate with the other Statistical Programming leaders and the D&A Leadership Team to identify areas of improvement and clarity on strategic plans for processes, standards, systems, resourcing, and other initiatives.
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Experience with programming in FORTRAN, C and C. Engineer to support on-going projects in aerodynamics, aeroelasticity, computational fluid dynamics (CFD). Experience with independent research or work experience with aerodynamics, aeroelasticity and computational fluid dynamics.
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Programming Skills - knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Proficiency with Python or Scala programming.
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As HoF for the Programming you need to have extensive experience with NDA, MAA, BLA filings, you need to be systematic, organised, proactive, and accountable with good planning and coordination skills.
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Programming experience will also be required to run and support analysis of Monte Carlo Neutronics Programming (MCNP) code. Python script programming capabilities will be helpful here as well.
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Provide functional expertise and leadership to statistical programming and data science colleagues while delivering comprehensive programming expertise to clinical project teams in support of development, regulatory approval, and market acceptance of company’s products.
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SAS programming or similar languages such as R, Python, etc. Drive process development and standards within programming where continuous improvements is in focus. Drive resource planning and outsourcing of programming activities.
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Experience with bioinformatics, clinical/life sciences or validated GxP environments Experience with R programming. Solid understanding of modern data architectures and their implementation offerings including Databricks' Delta Tables, Athena, Glue, Iceberg.
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Use experience with: SAS and programming languages for derived analysis datasets and TFLs; XML, Pinnacle 21; handling and processing of upstream data (multiple data forms, workflow, eDC, SDTM); providing outputs to meet downstream requirements (ADaM, Data Definition Table, e-submission); and CDISC standards and relational database to provide comprehensive programming expertise to clinical project teams to support the development, regulatory approval and market acceptance of BMS products.
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Under the Director for College Success, Academic Affairs, help coordinate and support academic enrichment programming, like faculty meetings and dinners, study tables and groups, and special precepts.
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Proficient with common engineering development tool set like Jira, Github, Jenkins, Gitlab, DevOps and DevSecOpsSoftware development experience, with proficiency in relevant languages and AI/ML frameworks (e.g. Python, TF/Keras, PyTorch)Hands-on programming or scripting experience preferred (e.g. Python, C/C.
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Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
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Versatility The ability to understand and reverse engineer applications written in any programming language from their source code. Technologies Familiarity with TypeScript, Symfony, Red Hat AMQ/Apache ActiveMQ/Apache Kafka, NestJS, Red Hat OpenShift/Kubernetes, SOLR (Lucid works), and Open API/Swagger.
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Programming skills required: Python is a must, R, SQL, etc. Experience with linear/Mixed Integer programming and associated tools like Gurobi, CPlex, etc. As a part of the fundamentals & structuring team, the quant modeler will be responsible for a variety of activities from short and long-term econometric or statistical analysis of power markets and adding quantitative power to fundamental market analysis to assisting structuring and BESS modeling activities and supporting trading/optimization/hedging.
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programming job in Princeton, NJ
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