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Proven strong and advanced programming and analytical abilities in SAS/SQL/R/Python including: Data processing/extraction and cleaning with SAS, SQL, R or Python SAS Macro language Application of statistical methods to health clinical and economic outcome data Deliverable outputs that are meaningful and easy to visualize and understand.
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Interaction: This role interacts with numerous teams, including health economic and outcome research, market access, commercial operations and strategy, payer and employer relations, business development and clinical trials, data and statistical programmers, biostatisticians, project management, IT and external vendors.
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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management.
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The Senior Statistical Programmer, an adept programmer proficient in SAS and SQL, will oversee programming, management, and analysis of various types of studies including commercial administrative databases, registry cohorts, observational studies, and clinical trials.
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Offer expertise relevant to statistical programming and CDASH data collection for study start up, execution, and close out: review protocols, draft CRFs; prepare and review validation plans, review vendor DTAs, etc.
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The Center for Mental Health and Addiction Policy (CMAP) and Dr. Matthew Eisenberg at Johns Hopkins University have an opening for a Statistical Programmer Analyst. The Programmer will use SAS, R, and/or Stata programming skills to create analytical datasets from surveys, healthcare claims, electronic health records, and other data sources.
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The Head of Biopharma Biostatistics serves as a leader within the global biostatistics department responsible for strategic and operational oversight of the biostatistics and statistical programming activities for Emmes' biopharma portfolio in key therapeutic areas such as vaccine and infectious diseases, ophthalmology, CNS, rare disease and cell and gene therapy among others.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git.
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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Job Title Senior Statistical Programmer Relevant Experience (in Yrs) We are looking for an associate with at least 5+ years of experience for Sr Statistical programming position, having strong understanding of SAS Base/Macros/GTL and experience of SDTM/ADAM/TLFs creation as per CDISC standards Must Have Technical/Functional Skills SDTM/ADaM Model and IG Thorough understanding of SDTM/ADAM concepts and challenges.
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The primary responsibility of the Statistical Analyst position is to conduct statistical programming for dermatology-related research projects under the direction of a senior statistician and three principal investigators.
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Under guidance with faculty biostatistician/data scientist; carry out data preparation responsibilities related to basic, clinical and/or population health research; perform introductory to intermediate-level statistical analysis and programming associated with research projects; and assist with the preparation of written reports, manuscripts, and grant applications with investigators.
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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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This role requires strong expertise in Python, PySpark, Databricks, Java and other relevant technologies, along with a deep understanding of statistical analysis, predictive modeling, and data visualization.
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