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Preferred Qualifications: 1) A master's degree in Statistics, Biostatistics, or related field; 2) Diverse skills in data management, programming, and statistical methods; 3) Proficiency in programming languages, including SAS, R, SPSS, Stata, and Excel; 4) Ability to work independently, take initiative, efficiently manage time and work with limited oversight; and 5) Ability to analyze problems and make sound judgments.
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Hybrid work arrangements will allow work from home combined with your presence on-site at our US HQ in Florham Park, NJ.Good knowledge of 21CFR11 and GCP.Good knowledge of Drug development process and BiostatisticsCurrent knowledge in technologies and tools related to Statistical programming or Biostatistics.
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Remote Principal Statistical Programmer needs 10 years Pharmaceutical/Biotech programming experience including macro/tools development experience. Strong SAS programming and Statistical background with strong skills in SAS Base, SAS/Macros, SAS/Graph and SAS/Stat.
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Proficiency in an analytics programming language, such as R, Python, or SAS (Statistical Analysis System) Statistical analysis, predictive modelling, simulation, machine learning, and artificial intelligence.
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Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. Research the state of the art of machine learning, statistical modeling and optimization technologies, and their applications in digital marketing, digital media, and e-commerce.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Min 4 years of experience as a Data Scientist in the ad-tech industry, including the following experience in: business intelligence, data mining, analytics, and statistical modeling disciplines.
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You have experience with complex data manipulation, statistical programming, text analytics, and data visualization. You will develop custom Snowflake SQL queries to access IDEXX diagnostic and medical data and apply scripted methods (R and Python) to conduct descriptive and statistical analysis.
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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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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning. Increasingly, we find ourselves conducting data analyses of rising complexity involving traditional statistical methods alongside techniques related to machine learning.
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Provide statistical leadership and technical support for Pfizer projects involving health economics and outcomes research (HEOR). Enhance statistical expertise in value-based drug development among Pfizer HEOR scientists, statisticians, and clinicians through active engagement and leadership in research methodology and content-specific areas.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Substantial experience in statistical programming using SAS, R, or other relevant programming languages within the pharmaceutical or biotech industry. Leveraging your extensive knowledge of statistical programming and PK/PD principles, you will collaborate closely with cross-functional teams of scientists, clinical researchers, and biostatisticians to ensure the successful implementation of our clinical development programs.
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Overseeing teams and programs analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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Deep experience with a statistical programming language (e.g., R). Ph. D. in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Cancer Biology, Genetics, Genomics, Computer Science.
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Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques. Strong Programming skills e.g. R, Python, SAS, SQL or other languages.
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