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Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with programming using a combination of the following: Python, MATLAB, machine learning and statistical programming, web-development, database query through SQL, high-performance computing, and scientific computing.
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Proficiency in financial modeling, forecasting, and statistical analysis. Proficiency in using financial software and tools, such as Excel, database management systems, and statistical analysis software.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Performs statistical, cost and financial analysis of financial reports and data and prepares subsequent narrative analysis for management. Uses various software applications, such as spreadsheets, relational databases, statistical packages and graphics packages to assemble, manipulate and/or format data and/or reports.
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Hands-on experience with financial and statistical software. BS degree in Finance, Accounting or Economics (Masters is a plus) Relevant certification (e.g. CFA/CPA) is a plus. Responsible for budgeting, forecasting, and reporting financial results on a weekly/monthly basis.
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Graduation from an accredited college or university with a master's degree in epidemiology, public health, biostatistics, statistics, health informatics, health science, biomedical science, or environmental science field with experience equivalent to two years' work experience in epidemiology.
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Remote Principal Statistical Programmer needs 10 years Pharmaceutical/Biotech programming experience including macro/tools development experience. Perform Data analysis, statistical analysis, generate safety and efficacy tables, listings and graphs using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL and SAS/ODS.
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Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience.
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Manages the performance management process for assigned staff and coordinates statistical reporting for departmental goal program(s) as required. We’re committed to putting you first, and that commitment is at the heart of our company culture: People first.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position. Description :At Regions, the Relationship Banker I is responsible for providing an exceptional customer experience, both on the cash line and on the phone, and contributing to improving the financial wellness of our customers.
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Examples would include but are not limited to linear referencing toolbox, statistical analysis tools, table analysis and data management tools. Experience with aerial photography, Experience using Excel: Pivot Tables, nested if statements, VLOOKUP, SQL, querying, table joining, etc.
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Use of statistical analysis software to move from options to a recommended path forward (JMP, Minitab, etc. Demonstrated success leveraging Advanced Quality Planning Tools such as DVPR, PPAP, statistical process control, control plans, FMEA, building inspection and production quality plans.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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At least 5 years, additional work experience directly related to the duties of the job and/or completed higher education; preferred PharmD with health outcomes research, PhD in pharmaceutical sciences, epidemiology, health outcomes, or psychology (specifically, social psychology, behavioral science, experimental psychology.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Preferred: Experience with orchids and imperiled plants of the southeastern United States, seed and pollen viability analysis, tissue culture, and statistical software (e.g., R, JMP). Preferred: Experience with orchids and imperiled plants of the southeastern United States, seed and pollen viability analysis, tissue culture, and statistical software (e.g., R, JMP.
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Demonstrated knowledge of statistical analysis including linear & multivariate regression, sampling and predictive modeling. Data visualization tool experience: Datorama/Salesforce Marketing Intelligence, Tableau, Power BI, or Looker with understanding of predictive analytics - designing for long term analysis at scale.
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epidemiology statistical bioinformatics jobs in Atlanta, GA
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