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SAS, Programmer, statistics, CDISC, SDTM, ADaM, CRO, clinical research, pharmaceutical, biotechnology, clinical data, data management, EDC, Electronic Data Capture, Medidata, Rave, Oracle, Inform, datasets, TLF, tables, listings, figures, programming, benefits, medical, dental, vision, 401k, Remote.
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The Statistical Programmer III shows independence in management of workload and production of quality output, as well as technical expertise that contributes to the programmatic infrastructure of the Statistical Programming group.
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This position will work closely with the Vice President of Biostatistics and Executive Director of Data Management and Statistical Programming and other members of the clinical, pharmacovigilance and regulatory affairs teams to provide programming support across all programs.
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Multivariate calculus; Statistical models behind standard ML models; Advanced excel techniques and Programming languages like R/Python; Basic classical optimization techniques (e.g., Newton-Rapson methods, Gradient descent); Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.
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This position will primarily provide data programming services, data pipeline construction and maintenance, and data management tasks such as: retrieving, cleaning, transforming, restructuring, merging, storing, and documenting large administrative data sets from various differing sources using programming languages (SAS, SQL.
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As a Data Scientist you will utilize experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high level language (e.g. Python), statistical analysis, variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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The Sr. Statistical Programmer will create specifications and develop SAS programs for data tabulation, analysis and reporting that comply with regulatory requirements (CDISC SDTM and ADaM), SOPs/ SAP, and lead junior level programming personnel.
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ICF's Research Science, Survey Solutions and Data Modernization Portfolio is seeking a SAS Programmer/Data Manager with experience developing and implementing data management strategies of varying complexity, producing cleaned and client-ready datasets, and conducting varying statistical analyses to support a range of projects including public health, housing, military and veteran's issues, energy, transportation, environment, and social and economic policy.
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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.
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10% Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining.
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Nihar specializes in the clinical domain and works across biostatistics, clinical trials/research, data management, health economics/RWE, medical affairs, statistical programming, and other R&D areas within pharma and biotech.
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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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Manage projects from initiation through closure for full scope regional and global projects, with activities focused on site selection, study start-up (including all systems and plan development), clinical operations, statistics and statistical programming, data management, subject randomization and drug supply management (IWRS), administration of data monitoring and/or adjudication committees, regulatory submissions, vendor management, and medical/scientific writing.
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The Statistical Analyst B will use SAS, STATA, SQL, and/or R programming skills to develop and execute analysis plans, conduct sample size calculations, assist with database development, and develop and generate reports and projections to support study management and overall operations.
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Strong background in statistical modeling, data mining, and predictive analytics. Develop algorithms for automating credit risk assessments, incorporating a wide range of data sources and statistical methods.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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