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Demonstrated problem-solving, analytical, and multitasking skills with a good understanding of clinical research, statistical programming and CDISC standards. A technical and innovative role that partners with statistical programming, clinical analytics, data standards, statistical sciences, data sciences and information technology experts to implement next generation clinical data analysis ecosystem.
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Familiarity with statistical programming software such as SAS, Stata, Python, or R. The candidate should have a solid coursework foundation in biostatistics or epidemiology and statistical programming.
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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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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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Solid knowledge of SAS Programming language, Software Development Life Cycle and CDISC standards (SDTM & ADaM). Develop or evaluate software tools, SAS macros, utilities to automate programming activities and support Biometrics team collaboration.
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Collaborate closely with Biostatistics, Data Management, Medical, Safety, Clinical Research, Clinical Operation, and other functions within Bicycle Therapeutics to address their needs for statistical programming support.
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Experience with programming in SAS, R and other statistical software and working with various database structures are crucial components of this position. This position involves project management for the statistical analyses and programming of clinical trials from small investigator initiated studies to large scale international clinical trials.
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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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The candidate will support the Head of Statistical Programming to continuously improve processes to conform to evolving industry standards and participate in the ongoing review and development of quality systems and processes, including CDISC implementation and other internal/external initiatives.
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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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Proven ability to use statistical analysis, analytics, and business knowledge to help solve complex business problems. Analyze data to understand trends and relationships using descriptive and predictive statistical techniques (e.g., correlation, regression.
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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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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, Clinical Data review, etc.
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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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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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statistical programming jobs in Cambridge, MA
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