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Candidates with skills in data management and analysis (R, Python), computer science (R, Python, Linux) and statistical genetics (GWAS, pheWAS, WGS, etc.) There will also be opportunities for attendance of statistical genomics training workshops.
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Execute strategic, statistical thinking and guide the direction to improve the statistical methodology, processes, and delivery activities of study design. Undertake design and analysis of complex studies and provide statistical support, making contributions to clinical development plans.
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The Scientist I will work with multiple phenotypic, genomic, and neuroimaging large datasets including the dbGaP, Million Veterans Program (MVP), All of Us, UK Biobank, Adolescent Brain and Cognitive Development (ABCD) study, and others.
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Director, Clinical Outcome Assessments (COA) And Value & Real World Evidence (VRWE) Study Management
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Subject matter expert on the execution and implementation of COAs in clinical trial programs, ensuring quality controls, data integrity, and alignment with cross-functional teams (Global Clinical Development, Clinical Management, Biostatistics, Statistical Programming, Strategic Sourcing & Execution, etc.
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3+ years experience with a wide range of advanced statistical techniques and major statistical software (SAS, SPSS, STATA) The sampling statistician will develop survey designs and sampling strategies for household-based surveys and health facility surveys working with host-country partners and will also participate in capacity strengthening activities for national statistical organizations and other data collection partners through training and mentoring.
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3-5 years of professional experience programming statistical analyses in SPSS, Stata, Python or R (Python and R highly preferred) Utilize appropriate statistical methods to analyze data and derive insights.
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Experience with SAS/JMP statistical software is desired. Precigen (Nasdaq: PGEN) is a dedicated discovery and clinical stage biopharmaceutical company advancing the next generation of gene and cell therapies using precision technology to target the most urgent and intractable diseases in immuno-oncology, autoimmune disorders, and infectious diseases.
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A good command of statistics, sampling methodologies, and statistical analysis software such as SPSS, STATA, NVivo, among others, managing complex data collection and analysis efforts. Knowledge/experience working with multi-lateral and bilateral donor agency activities and policies/procedures (e.g., United States Government (USG) agencies, such as USAID, State Department, Department of Defense; other agencies like United Nations, World Bank, foundations, etc.
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Fluency in exploratory statistical analysis and data visualization techniques and statistics-informed design of (computational) experiments. Ph. D. in bioinformatics, computer science, computational biology, biostatistics, applied mathematics or a related math-grounded discipline with a record of publications / patents.
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Work with postdoc/biological scientists to perform statistical analysis for research projects. A masters degree and 5 years of experience is equivalent to a Ph. D. Candidates must have a Ph. D. or equivalent in neuroscience or a related discipline and significant postdoctoral experience in at least one of the following fields: biological psychiatry, molecular neuroanatomy, molecular biology, cognitive behavior, nonhuman primate neurobiology, MRI, and electrophysiology.
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Strong understanding of pharmacokinetics, biomarkers, statistical principles, and regulatory requirements and demonstrated experience integrating these disciplines in the context of drug development.
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CGB's research combines clinical, genetic, genomic, epidemiologic, behavioral, statistical, and laboratory scientific research modalities to improve prevention, screening, and management in high-risk individuals and population.
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Experience with SQL for data manipulation and R, Python, or Stata for statistical programming. Perform data analysis and statistical modeling to generate actionable insights and solutions.
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Proficiency in data analyses using statistical tools such as SAS, Stata, and GraphPad Prism. The incumbent also oversees a staff of clinical data management specialists, programmers, and data analysts that are tasked with the creation and implementation of tools to support data capture, routine monitoring of data for completion and accuracy, communication with clinical research sites to coordinate data entry and response to database queries, preparation of data reports, and design and execution of statistical analyses to test research hypotheses.
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Design and lead descriptive, predictive, and/or causal inference statistical analyses for large scale projects and complex program areas. Excellent quantitative analysis abilities, grounded in econometrics, health services research, epidemiology, statistics, or related field.
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statistical job in Rockville, MD
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