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Keywords: Quantitative Development, Team Lead, Equity, Fixed Income, Portfolio Construction, Statistical Programming, R, SQL Database, Investment Management, R, Java. Investment Manager in Boston is looking for an experienced quantitative developer with a combination Mathematical/Statistical background (regression and time series models) and strong Java programming skills to enhance, develop, and lead a team of quantitative developers building equity and fixed-income investment analytics and forecasting models.
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Proficient in at least one statistical/programming language (e.g., R, Python) This individual will have a background in I/O Psychology and be skilled in psychological theory, scientific research methods, survey design, advanced statistical analysis, and data visualization.
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The Vice President, Head of Biometrics will report to the Chief Medical Officer and be responsible for creating and implementing both the near-term and long-term strategic direction for Biostatistics, Statistical Programming, and Clinical Data Management across all therapeutic areas and phases of development while ensuring systems, capabilities, and resources are in place to optimize the design/ conduct and analysis/interpretation of clinical trials and clinical data, respectively.
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Bachelor’s or higher degree in Computer Science, Mathematics, Physics, Quantitative Finance, Engineering, Statistics or equivalent field, with significant coursework or equivalent experience in programming, modeling, simulation and statistical techniques.
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ROLE SUMMARYProvide statistical leadership and technical support for Pfizer projects involving health economics and outcomes research (HEOR). The applicant is expected to develop highly effective collaborations with relevant stakeholders including those in Patient Health & Impact, the Patient-Centered Outcomes Assessment Group, Statistics, Clinical Pharmacology, Clinical Development, Medical Affairs, Epidemiology, Programming, and other groups contributing to HEOR analysis and strategy.
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Hands-on professional programming experience across power industry and power trading is a big plus. Manage, troubleshoot and enhance trading models, data collectors and data stores leveraged by FTR trading team across transmission power flows, power generation economic dispatch, automated monitoring, analysis of transmission system constraints and statistical simulation based on historical data.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch.
$140,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Overseeing or acting as intermediate between Data Management, Statistical Programming and external data provider regarding external data specifications, data, and technical issues. Experience in technologies such as Medidata modules (RAVE, Coder, RTSM, eCOA), Veeva eTMF, eClinical Solutions Elluminate, SAS LSAF.
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Working independently, under the direction of the Principal Investigator, s/he will design and perform statistical analyses of clinical, biobank, and omic datasets (that may include genetics, epigenetics, RNA, miRNA, metabolomics), including data curation, cleaning, and implementation of complex statistical models.
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Advanced proficiency in programming languages such as Python, R, SQL. Deep expertise in statistical and machine learning methods for go-to-market attribution and hands-on experience with building end-to-end attribution systems that may include Marketing Mix Modeling (MMM) algorithmic multi-touch attribution (MTA.
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Reporting to the Vice President/Head of biometrics, the Head of Statistical programming will be responsible for leading all statistical analysis and programming for our innovative clinical programs.
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Proficiency with MS Excel is a must and proficiency in statistical programming language (R, python, SAS, SPSS, etc) preferred. Must have experience working with MS Office tools (Excel, Word) and preference for candidates who possess skills in statistical programming language (R, python, SAS, SPSS, 5.
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The GPS Analytics and Cognitive (A&C) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Educational qualifications: MD and/or PhD degree in a field relevant to computational biology, bioinformatics, statistical genetics, computer science, and/or molecular biology. Programming skills: Proficiency in programming languages and bioinformatics tools commonly used in computational biology, including R / Bioconductor and Linux.
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Experience programming with Stata, SAS, SQL, Python and other standard statistical software. Conducting analyses to understand health service utilization, spending, outcomes and other aspects of health care in the Commonwealth using descriptive statistics, regression modeling, and other statistical methods.
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statistical programming jobs in Cambridge, MA
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