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Design, implement, analyze, and report findings from targeted statistical research studies; provide consultation and guidance to researchers on experimental design, statistical research methodologies, and scientific standards for in vivo/in vitro studies, asay development, biomarker researches, and genetics/omics data analyses etc to advance drug development research.
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Provide statistical leadership and technical support for Pfizer projects involving health economics and outcomes research (HEOR). Enhance statistical expertise in value-based drug development among Pfizer HEOR scientists, statisticians, and clinicians through active engagement and leadership in research methodology and content-specific areas.
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Strong analytical skills for data analysis, utilizing tools like statistical software and data visualization techniques. Proficiency in materials characterization tools such as Inductively Coupled Plasma (ICP), X-ray Diffraction (XRD), Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM/EDS.
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Degree in higher education administration, career development, or similar preferred, as are strong verbal, statistical, and analytical skills and experience. The Academic Program Administrator provides support for student services and academic support in the School of Public Policy and Urban Affairs (SPPUA) within the College of Social Sciences and Humanities (CSSH.
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Maintain statistical data as requested by ABCD Head Start administration and in accordance with federal and state regulations. Implement cycle menu in accordance with ABCD policies, procedures, and established practices; budget requirements, Head Start Performance Standards, and guidance established by CACFP.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Stay updated on protein space and industry trends: Keep abreast of the latest developments in computational structural biology, protein engineering, and related fields.
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We are seeking a talented Clinical Biostatistician to join our team and play a key role in driving the statistical aspects of clinical studies, assay development, and epidemiological and healthcare economic modeling using real-world data.
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Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Regularization, NLP, NLU, Ensemble Methods and Neural Networks. utilizing methods such as statistical analysis, regression modeling, natural language understanding and optimization, and deep learning.
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The Associate Director, Statistics is responsible for statistical and statistical programming activities across multiple studies and programs from study start-up through study closure to ensure completion per established project team goals and objectives.
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Awareness of data standards for clinical research and statistical analysis (e.g. CDISC, SDTM, ADaM, ICH Statistical Principles for Clinical Trials) The statistical analyses vary across patient-level clinical trial data, observational study (real-world) data, and published aggregate data, and involves a range of techniques such as basic statistical analysis of individual patient data, regression analysis, survival analysis and complex Bayesian network meta-analysis using both standard and emerging methods.
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Experience with SQL, Excel/Google Sheets as well as statistical languages such as R, Python. Proficiency with data visualization tools such as Tableau, Domo, Power BI, etc. Experience with SQL, Excel/Google Sheets as well as statistical languages such as R, Python.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Apply and instruct others in the use of Quality systems (CAPAs, change control, measurement systems and Analysis (MSA), Statistical Analysis, Control Plans, document management, etc) Includes the use of various statistical techniques and quality tools.
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Oversee development of statistical sections of clinical development plans, protocols, statistical analysis plans, and key specifications for statistical programming implementation of analyses.
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You will have a BSc, MSc or PhD degree in statistics, psychology, life sciences, or another relevant field; knowledge of relevant psychometric methods including classical test theory, factor analysis, and item response theory/Rasch analysis; and experience with performing analyses in statistical software (e.g., SAS, Stata, R, Mplus.
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statistical job in Watertown, MA
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