Job ID: 365151873
Job date: 2017-06-09
End Date:
Company : Rang Technologies Inc Country : Role : Other
Job date: 2017-06-09
End Date:
Company : Rang Technologies Inc Country : Role : Other
Job Description:
Responsibilities:
Additional Info:
Founded in 2005, Rang Technologies has been a leading diversity firm specializing in Analytics and Data Science solutions and comprehensive IT staffing services. We help our Customers make better decisions using data to get fast-track success. Our customer-centric approach provides commitment, focus and a dedicated team to help our customers achieve their business objectives. We take pride in providing the highest-quality talent and the best customer experience. We help our customers make better data-driven strategies using our expertise in Business Analytics, Campaign and Marketing Analytics, Financial Analytics, Predictive Analytics, Risk Modeling, Risk and Compliance Model Validation, Fraud Analytics (Fraud Detection and Fraud Prevention), Anti Money-Laundering (AML) and Know Your Customer (KYC) Analytics, Clinical Data Analytics, CDISC SDTM and ADaM, Biostatistics, Healthcare Analytics, Web and Digital Analytics, Media Analytics, Insurance Analytics, Retail Analytics, Logistics Analytics, Inventory Analytics, Supply Chain Analytics, Customer Insights and Analytics, Manufacturing Analytics, Warranty Analytics, Energy and Utility Analytics, Automobile Analytics, Agriculture Analytics, Visual Analytics, Machine Learning, Text Analytics, Business Intelligence, Big Data, Business Analysis, and SAS Grid Administration. Our professionals bring vast industry experience in Analytics and Data Science technologies – SAS (Base, Stat, Graph, Macro, Enterprise Guide, Enterprise Miner, Forecast Studio, Web Report Studio, DI Studio), R, Python (Numpy, Scipy), SQL, SPSS Modeler, Rapid Miner, Knime, Natural Language Processing (NLP), Omniture, Google Analytics, Adobe Analytics, Weka, Apache Hadoop, Cassandra, Scala, Spark, Teradata, Netezza, MongoDB, NoSQL, Oracle, IBM Cognos, Tableau, QlikView, Spotfire, MicroStrategy, ETL, and OpenCDISC. Our goal is to meet expectations of excellence – those of our customers, our employees, our candidates, and those of our community.[Click Here to Access the Original Job Post]
Responsibilities:
- Execute end to end data management activities pertaining to clinical trials, including but not limited to: data management tool and system development, data validation and maintenance, data collection, data integrity review and reconciliation, query management, medical coding, database lock preparation, protocol review, CRF development, database set-up activities and SAE reconciliation in compliance with Standard Operating Procedures (SOPs) and ICH-GCP guidelines.
- Design, create, validate, review, approve and maintain data management tool specifications
- Ensure completeness, accuracy and consistency of clinical data and data structure across all projects.
- Address Regulatory Submission issues within Biometrics and with other related departments.
- Utilize appropriate CDM concepts and resources to solve moderately complex technical CDM issues.
Qualifications
Qualifications: A minimum of B.A. or B.S. degree, preferably in Bioinformatics, Biological Sciences, Medicine, Pharmacy, Nursing, or health care related discipline, master’s degree preferred Knowledge And Skills- Proficiency on all related regulations, GCP, and Good Clinical DM Practice
- Knowledge of Medidata Rave, InForm, or Oracle Clinical Data Management preferred
- Excellent work planning and time management skills
- Fluent oral and written English skills
- Able to work under pressure and in a changing environment with flexibility
- Good communication skills with the ability to communicate with both the technical and business areas.
Requeriments :
Areas :
Additional Info:
Founded in 2005, Rang Technologies has been a leading diversity firm specializing in Analytics and Data Science solutions and comprehensive IT staffing services. We help our Customers make better decisions using data to get fast-track success. Our customer-centric approach provides commitment, focus and a dedicated team to help our customers achieve their business objectives. We take pride in providing the highest-quality talent and the best customer experience. We help our customers make better data-driven strategies using our expertise in Business Analytics, Campaign and Marketing Analytics, Financial Analytics, Predictive Analytics, Risk Modeling, Risk and Compliance Model Validation, Fraud Analytics (Fraud Detection and Fraud Prevention), Anti Money-Laundering (AML) and Know Your Customer (KYC) Analytics, Clinical Data Analytics, CDISC SDTM and ADaM, Biostatistics, Healthcare Analytics, Web and Digital Analytics, Media Analytics, Insurance Analytics, Retail Analytics, Logistics Analytics, Inventory Analytics, Supply Chain Analytics, Customer Insights and Analytics, Manufacturing Analytics, Warranty Analytics, Energy and Utility Analytics, Automobile Analytics, Agriculture Analytics, Visual Analytics, Machine Learning, Text Analytics, Business Intelligence, Big Data, Business Analysis, and SAS Grid Administration. Our professionals bring vast industry experience in Analytics and Data Science technologies – SAS (Base, Stat, Graph, Macro, Enterprise Guide, Enterprise Miner, Forecast Studio, Web Report Studio, DI Studio), R, Python (Numpy, Scipy), SQL, SPSS Modeler, Rapid Miner, Knime, Natural Language Processing (NLP), Omniture, Google Analytics, Adobe Analytics, Weka, Apache Hadoop, Cassandra, Scala, Spark, Teradata, Netezza, MongoDB, NoSQL, Oracle, IBM Cognos, Tableau, QlikView, Spotfire, MicroStrategy, ETL, and OpenCDISC. Our goal is to meet expectations of excellence – those of our customers, our employees, our candidates, and those of our community.[Click Here to Access the Original Job Post]