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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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The Head of Biopharma Biostatistics serves as a leader within the global biostatistics department responsible for strategic and operational oversight of the biostatistics and statistical programming activities for Emmes' biopharma portfolio in key therapeutic areas such as vaccine and infectious diseases, ophthalmology, CNS, rare disease and cell and gene therapy among others.
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The primary responsibility of the Statistical Analyst position is to conduct statistical programming for dermatology-related research projects under the direction of a senior statistician and three principal investigators.
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Previous experience with high-level programming languages such as SAS, R Statistical Programming Language, SPSS, C/C. At least 5 of the following: R Statistical Programming Language, SPSS, SAS, Python, C/C.
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N/a Similar Jobs (2) Associate Principal Statistical Programmer, Real World Evidence- Hybrid locations 2 Locations time type Full time posted on Posted 30+ Days Ago Associate Principal Scientist, Statistical Programming (Hybrid) remote type Hybrid locations 2 Locations time type Full time posted on Posted Yesterday.
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The Senior Statistical Programmer works on complex assignments, shows independence in management of workload and production of quality output, as well as technical expertise that contributes to the programmatic infrastructure of the Statistical Programming group.
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This position will work closely with the Vice President of Biostatistics and Executive Director of Data Management and Statistical Programming and other members of the clinical, pharmacovigilance and regulatory affairs teams to provide programming support across all programs.
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Review key planning documents (e.g., statistical analysis plan, data presentation plan, data review plan) to ensure alignment with development team objectives and clarity and completeness of programming assumptions and requirements.
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Managers of Statistical programming provide comprehensive programming expertise to clinical project teams to support the development, regulatory approval and market acceptance of Bristol Myers Squibb (BMS) products.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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A minimum of 5 years of clinical/statistical programming experience within pharmaceutical clinical development, supporting regulatory filings (e.g. NDA, BLA, MAA). Managers of Statistical Programming develop collaborative relationships and work effectively within Global Biometrics & Data Sciences (GBDS), with external vendors and members of cross-functional development teams.
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The Statistical Analyst A will use standard SAS and/or STATA programming skills to create analytical datasets from clinical trials, surveys, and health care claims, to construct and standardize outcome measures and other analytical variables through data cleaning and data manipulation, to provide descriptive and analytical reports, and to perform specialized statistical analyses.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git.
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Bachelor's Degree in Statistics, Mathematics, Computer Science or related field with 4 years of previous statistical programming experience (e.g. SAS) Required or. Master's Degree or equivalent in Statistics, Mathematics, Computer Science or related field, with 2 years experience previous statistical programming experience (e.g. SAS) Required.
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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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