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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We are seeking a Bioinformatics Analyst II to join the Seibold Lab team, with a background in bioinformatics, computer science, computational biology, biostatistics, or statistical genetics to join our team.
$65,000 - $73,000ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Relevant skills include statistical analysis and open-ended data mining (social network analysis will be particularly helpful); applied machine learning including Natural Language Processing; quantitative content analysis; qualitative discourse analysis; survey research; and archival research.
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Abackground in statistical analysis, or data analytics and familiarity withdistance learning (CANVAS LMS, Zoom, or Teams). Adjunct Faculty (Political Science) SAC - req10900. Master's or higher degreein Political Science, Public Policy, Comparative Politics, InternationalRelations, Public Administration, or a similar field with evidence of studies in politicalinstitutions from anaccredited institution or a Master's degree in any field with 18 hours inthe political science discipline.
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The AM Analyst will work closely and cross-functionally with internal Finance (Accounting, FP&A, Treasury), Credit, Legal and Technology (Engineering, Data Science) teams, as well as the Quantitative Strategies, Strategic Direct Lending and Capital Markets Financing groups that sit within the CIO Function.
$80,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Proficient in data analysis through JMP, Python or other data engineering software. M.S. or PhD (Electrical Engineering, Microelectronics, Physics, or Material Science) or B.S. with 5 to 10 years industry experience.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Knowledge of best practices in software engineering for reproducibility and data management skillsAbility to work in and adapt to a fast-paced environment Preferred Qualifications: Experience with protein co-evolution analysisExperience with NGS and bioinformatics toolsExperience with agile methodologies.
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Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation AA engines and services. Experience in applied data science role or equivalent; ideally in CPG/Retail.
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This is a postdoctoral position with the scientific goals being the development, implementation, and evaluation of statistical methods for causal inference based on electronic health records (EHR) data.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Apply statistical (descriptive, analytical, inferential) analysis and data mining techniques to generate real-world evidence and prediction systems (30%). Required Education: Master’s degree in Data Science, Biostatistics, Epidemiology, Mathematics, Health Economics, Computer Science, Business Analytics, Informatics, or related field OR Doctorate (Ph. D.) in Data Science, Biostatistics, Epidemiology, Mathematics, Health Economics, Computer Science, Business Analytics, Informatics, or related field.
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Experience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc. Consulting Research Associate I would have a BA/BS degree in social science, public health, economics, statistics, actuarial science or equivalent related field with less than 3 years of related work experience or equivalent combination of education and experience.
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Track record in implementation of AI-driven initiatives within pharmaceutical industry Skilled in data extraction and summarization from large datasets using SQL and basic statistical analysis using preferred languages (i.e., Python, SQL, R) Capable of interpreting the results of predictive models, evaluating model performance, and translating findings into actionable insights aligned with brand strategy.
$113,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in data mining, descriptive analytics, application of statistical methods, analyses and modeling, predictive modeling, opportunity assessment and quantification, and simulation.
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Minimum RequirementsCompetencies and Knowledge:For all levelsExperience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc.
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Demonstrated statistical/programming experience and/or applied experience with STATA required, and R is required. Provide statistical analysis and design for reports and presentations. Provide analysis of data exhibits for academic journal articles.
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