Associate Director, Study Patient Operations
1 miesiąc temu
Location: Warsaw, Poland or Barcelona, Spain
Competitive Salary and Benefits
Make a more meaningful impact to patients’ lives around the globe
AstraZeneca’s R&D Data Office is an industry-leading enabler of data and AI strategy. The Data Office provides data services, technology, and data products, supported by data and AI policy and governance, to unlock the value of data that drive innovative science.
The Data Office’s Data Products and Platforms Team are responsible for the end-to-end hosting, processing and management of study and patient data, including clinical, imaging and omics data and associated study information, to enable cross R&D use; they will make data “FAIR” (Findable, Accessible, Interoperable and Reusable) and ensure the data is managed appropriately.
You will be responsible for managing the data, with both curation and operational aspect of data for the Data Office Products and Platform teams.
Within the team you will work autonomously, supervising the work of others where needed, to ensure that the right study patient content is available to downstream users and is appropriately and compliantly managed. Your responsibilities include responding to and performing requests for study patient data services, including data operations such as data ingestion, curation, information completeness and reporting upon study and patient data assets. As a part of this execution, you will have oversight of automated flows into systems and catalogues, plus manual data stewardship and data management tasks.
You will take a strong customer oriented approach and achieve outcomes for requesters contributing to development of structured measures of operational activity (, operational metrics on data utilisation) and then use the information to actively contribute to the continuous improvement of study patient data services. When changes to processes are commissioned, you will ensure that these are appropriately documented, versioned and applied. Throughout these processes, you will make sure that operations align with associated data policies and standards, to help manage data risks, , data privacy risk. You are likely to have a background in pharma and being familiar with the set up, conduct and data managment of a clinical study.
Education, Qualifications, and Experience and skills:
Essential:
A university degree in a Computer Science, Data Management or other relevant subject area (Pharma, R&D, Finance, HR etc) and cross trained or equivalent number of years of experience Hands-on experience from Agile development, preferably in a business context. Relevant degree in Information/Data Science, Computer Science, Informatics, IT, or other related discipline. Business Acumen (pharma and the life sciences): Understanding of the business domain (clinical studies and products) and industry trends, enabling effective decision-making and alignment of analytics initiatives with business goals. Demonstrable experience in a clinical data managment, data analyst or business analysis role aligned to data and information management with practical examples of performing data analysis, data management or data processing according to gathered requirements Business process mapping expertise: using as-is and to-be process mapping and ability to author requirements or other structured technical documents including supporting others in requirements analysis and data management activities Excellent communication skills and ability to build strong relationships Experience of running project in a GxP regulated environment Problem-solving: Ability to identify and resolve complex analytical and technical challenges, ensuring the accuracy and reliability of analytics solutions. Travel – willingness and ability to travel domestically & internationally.Desirable:
Post-graduate degree in IT, Data Management Experience of achieving tangible and acknowledged value in a similar position and scale of challenge and opportunity. Knowledge of Drug Discovery and Development practice in BioPharma Strong Change Management track record. Experience project manager with a great understanding of the project phase and the connection between classic project management and Agile ways of working Professional qualification in a specific subject area including Data Management or IT business analysisDate Posted
21-maj-2024Closing Date
14-cze-2024-
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