【Medical】Senior Data Scientist, EOR Data Science
AstraZenecaJapan - osaka, more...Update time: October 2,2020
Job Description

【職務内容 Job Description】

Data Scientist(DS) is a key player of evidence generation in Medical division of AZ KK. Therefore, DS surely plays following roles. DS directly reports to the director of Data Science, EOR.
 
1. Advice/co-leading of AZSS
To gives advises about the study design, method, endpoints, and analysis from an epidemiological point of view and leads observational/database research with other members in Medical Div.
2. Assessment of study design/target population/data source/data handling
To review the plan of observational/database research and support for necessary documentations(Statistical analysis plan, speculation, & clinical trial protocol)
3. Oversight of venders (timeline management, quality of outputs, & resource)
To oversee vender performances to achieve responsible studies effectively
4. Survey the necessary information for data assets
To survey several databases that AZ is/will be able to access. To evaluate them how/for what kind purpose AZ will use.

【経験 Experience】

必須 Mandatory

1. Clinical research Associate (CRA)/Data Management (DM) /Statistician (STAT) Project leader (PM) in clinical development
2. Make protocols for clinical trial (CT)/observational study (OS)
3. Interpret research results and make presentations/manuscripts

歓迎 Nice to have

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

【資格 License】

必須 Mandatory

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

歓迎 Nice to have

• PhD of the Public health, Epidemiology & Biostatistics  is desirable

【能力 Skill-set】

必須 Mandatory

1. Programming skill for Python, R, SAS in clinical/observational study
2. Data handling skill for health Care data
3. Medical writing/Publication of own researches
4. Exchange insights with external with respect to informatics
5. Presentation at meetings

歓迎 Nice to have

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

【語学 Languages】

必須 Mandatory

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

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

【その他 Others】

必須 Mandatory

• Make training plan about applications
• Harmonize process with global
• Communicate with external experts to search for suitable computer enviernment in AZ KK
• Learn new mthodology and knowledge with respec to machine learning and nural network

Date Posted

02-Oct-2020

Closing Date

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 authorization and employment eligibility verification requirements.

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