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Additional Skills (Advantageous): Familiarity with web analytics platforms such as Google Analytics or Mixpanel, proficiency with BI tools (e.g., Tableau, Power BI), statistical packages (e.g., Stata, SPSS, "R"), and some programming background (e.g., Python, SQL, VBA.
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Developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, or SAS. and effective test design (establishing sample sizes, statistical significance measurement, etc.
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Knowledge on Statistical techniques like, MMX, Test control analysis, A/B testing, Promo response models, Optimization, impact analysis for MCM and digital channels. Experienced in pharma data sets such as IQVIA, Symphony: Xponent, PlanTrak, NPA, DDD, Digital Interaction data, Veeva CRM, Call Activity data, Adobe, Google analytics data, IPad, Social media data.
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Fluent with statistical concepts and the use of tools like R, JMP/SAS. Develop risk assessments and making quality and reliability predictions based on data collected using statistical principles and design of experiments fundamentals.
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PhD, ScD or DrPH in Biostatistics or related field with emphasis on applied statistical methodology. Must have sound knowledge of relevant clinical and statistical regulatory requirements (e.g., GCP, ICH, CDISC, FDA, and other requirements.
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Knowledge in drug discovery process and relevant statistical applications. Tracking record of successive clinical trial designs/analysis in biotech/pharmaceutical industry setting and hands on statistical analysis experiences.
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ASG offers data collection, statistical analysis, health program evaluation, technical and health program implementation support. ASG provides a broad range of healthcare technology related services such as software development and integration, mobile apps, AI/ML, Analytics, Data Science, Bigdata, DevSecOps, Digital transformation, cloud, and cybersecurity.
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Conduct primary market and consumer insights research using survey, focus group, and individual interviewing methods: including designing, editing, and managing web-based consumer survey tools; ensuring response rates and data collection completion within project timelines; understanding factors affecting validity of results; analyzing data using innovative statistical techniques; and interpreting findings.
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Review CRO deliverables and perform acceptance checks and validation to ensure that statistical programming deliverables are accurate, complete, and compliant with CDISC standards. Position Summary Karuna is seeking an experienced and motivated Statistical Programmer – Senior Statistical Programmer to join our rapidly growing organization.
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Piper Companies is looking for an experienced Senior Statistical Programmer (PK/PD) to join a well-established, global clinical research organization focused on improving the drug development process and access to therapeutics.
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Must have 3 years of recent experience in financial engineering or statistical software package such as a Matlab, Stata, Bloomberg, or MS Excel/VBA. Analyze and develop models to value a variety of financial instruments, using option pricing theory, fixed income and structured finance models, Monte Carlo simulation, statistical analysis, and other techniques from the financial engineering literature.
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Of required experience, must have 3 years of experience with one or a combination of the following: at national valuation firm; at accounting firm's valuation practice; in investment banking; in private equity/venture capital; and/or in commercial banking.
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Experience conducting statistical analyses and data mining using tools, such as SPSS, SAS, Stata, or Minitab. Performs complex and detailed statistical analyses and modeling of healthcare operational data with outputs that are clear and relevant to the users.
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Applies a variety of methods based on standards and metrics to review and improve data acquisition and data management processes such as statistical analysis, machine learning, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
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Bachelors degree in Electrical Engineering, Physics or related scientific disciplineExperience with manufacturing process and process improvements Experience with statistical analysis methods, such as, DOE, Gage R&RExperience with failure modes and effects analysis Understands key aspects of packaging opto-electronic devicesExperience with reliability of packages and the impact of packaging on device reliabilityExperienced in statistical analysis software such as JMP, Minitab, etc.
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