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【Medical】Senior Data Engineer, EOR Data Secience グループ

Plats Kita-ku, Ōsaka-fu, Japan Jobb-id R-084952 Datum inlagd 06/22/2020


Data Engineer is an expert role of server management in Medical division of AZ K.K. Therefore, Data Engineer plays a following role in a timely manner.

Data Engineer directly reports to the director of Data Science, EOR. 

Management of Japan Data server
• Develop appropriate processes for utilizing data server
• Assess applications for Amazon Web Service(AWS), especially statistical & new technology
• Install/upgrade softwares in server
• Assess server performance and correspond to its situation 

Management of data assets
• Register data assets in servers
• Analyze/check RWD for investigating the feasibility of research 

RWE capability development
• Build and keep network with the Clinical, Epidemiology and RWE key experts/stakeholders internally and externally to enable a) the access to cutting-edge science, methodologies, technologies, processes and solutions, and b) provision of training to roles involved in evidence generations across functions



• Construct data hub/network in AWS
• Analyze data by R, SAS, Python

• Manage Server for analyzing data 
• Do IT consultation/support for users

On top of the mandatory experience,
• Experience in reviewing, assessing and using Real-World data for the research purposes to address clinical / research questions
• Networking, integrating and using EMR(electronic medical records) / EHR (electronic health record) data for the clinical / epidemiological research
• Using/applying bioinformatics methodologies to analyze medical big data / database / scientific research outcomes
• Health Technology Assessment in building models, estimating Health Care resources, analyzing the health economics/technology and crafting value propositions

• Master degree in Engineering, Science (Math, Physics, informatics) or equivalent 
(individuals holding MD/Public health/pharmaceutical science degree may be acceptable
• Professional Data Engineer

 • MD degree is desirable on top of the public health

• Make programming (Python, R, SAS)
• Management of S3, Redshift, & EC2 in AWS 
• Exchange insights with external with respect to informatics
• Assess scientific feasibility in using/integrating databases from a data format/structure point of view
• Fundamental project management capabilities in planning, initiating and controlling the projects, and applying the tools/frameworks/concepts to drive the effectiveness/performance of project teams 


On top of the mandatory skill-set above,
• Design, construct and implement the process/platform of database research by using data
• Evaluate a health care data to make clear drug characteristics


• Read/write scientific documents including data speculation in English/Japanese
• Communicate, and discuss IT/bioinformatics topics with the key stakeholders and experts in English/Japanese practically
• Make a English presentation  leading and facilitating the IT discussions in the global meetings

• Make training plan about applications 
• Harmonize process with global
• Communicate with external experts to search for suitable computer environment in AZ K.K.
• Learn new methodology and knowledge with respect to machine learning and neural network

 D or E レベル


 Osaka or Tokyo

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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