Job Description:
The Data Acquisition Specialist conducts acquisition activities related to non CRF biomedical data. Such data may be collected from various sources, in diverse formats, using different modalities. He/She supports the specification, acquisition, organization, and checking of said data using specified standards, thus ensuring high quality data for the clinical trials supported. Responsibilities: -Work with relevant internal staff to plan which data will be loaded for what purpose. -Direct interface with electronic data providers. E.g defining DTA (data transfer agreement) as well as defining FFS (file format specifications). -Manages acquisition of electronically loaded data. -Understand the context underlying each data type targeted for acquisition, in order to ensure that the data quality is fit for purpose. -Assess loaded data for quality and conformance, performs discrepancy management, reconciliation and takes appropriate action with data provider for query resolution. -Work with appropriate internal staff in the development and implementation of data standards and processes to ensure data quality. Who you are: -You’re someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point. -Required Technical Qualifications, Experiences and Competencies -BSc or MSc in Life Sciences, Bioinformatics, Biostatistics, Computer or Data Science or an alternative subject. -Good knowledge of English in a business environment and good communication skills – both written and oral. -Knowledge of CDISC data standards. -Knowledge of ICH-GCP and working in regulated environments. -Knowledge of basic biological principles and the pharmaceutical development process (including clinical trials, patient level datasets and study documentation). -Project Management skills. -Systematic, structured, and pragmatic approach to tasks, with good attention to detail. -Able to deal positively with multiple requests and priorities. -Collaborative. Works to identify solutions that address current and future needs and different stakeholders needs. -Flexible. Deals positively with ambiguity and finds appropriate solutions.
Additional Info:
Who we are: At Roche, 91,700 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity. Roche is an equal opportunity employer.[Click Here to Access the Original Job Post]
The Data Acquisition Specialist conducts acquisition activities related to non CRF biomedical data. Such data may be collected from various sources, in diverse formats, using different modalities. He/She supports the specification, acquisition, organization, and checking of said data using specified standards, thus ensuring high quality data for the clinical trials supported. Responsibilities: -Work with relevant internal staff to plan which data will be loaded for what purpose. -Direct interface with electronic data providers. E.g defining DTA (data transfer agreement) as well as defining FFS (file format specifications). -Manages acquisition of electronically loaded data. -Understand the context underlying each data type targeted for acquisition, in order to ensure that the data quality is fit for purpose. -Assess loaded data for quality and conformance, performs discrepancy management, reconciliation and takes appropriate action with data provider for query resolution. -Work with appropriate internal staff in the development and implementation of data standards and processes to ensure data quality. Who you are: -You’re someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point. -Required Technical Qualifications, Experiences and Competencies -BSc or MSc in Life Sciences, Bioinformatics, Biostatistics, Computer or Data Science or an alternative subject. -Good knowledge of English in a business environment and good communication skills – both written and oral. -Knowledge of CDISC data standards. -Knowledge of ICH-GCP and working in regulated environments. -Knowledge of basic biological principles and the pharmaceutical development process (including clinical trials, patient level datasets and study documentation). -Project Management skills. -Systematic, structured, and pragmatic approach to tasks, with good attention to detail. -Able to deal positively with multiple requests and priorities. -Collaborative. Works to identify solutions that address current and future needs and different stakeholders needs. -Flexible. Deals positively with ambiguity and finds appropriate solutions.
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Additional Info:
Who we are: At Roche, 91,700 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity. Roche is an equal opportunity employer.[Click Here to Access the Original Job Post]