Japan EOR Senior Data Scientist is an expert role to provide scientific expertise in evidence generation so that key research questions are sufficiently addressed, and all research are planned and delivered in a way that represent cutting-edge science, methodologies, technologies, processes, and solutions in the Pharm industry. Senior Data Scientist reports to director of Data Science, EOR. 
 
1. Lead/co-leading of observational/database research and data analytics
2. Assessment of study design/target population/data source/data handling/analytical method and give suitable inputs from an epidemiological point of view
3. Oversight of venders (timeline management, quality of outputs, resource, & budget)
4. Survey & assess the necessary information for database and recommend database that fits for research/analytical purpose

経験 Experience

1. Design, analyze, interpret and publish researches for Data Science/Epidemiology/Clinical
2. Planning, and managing of database research, and/or leading members
(acceptable even if the leadership is primarily focused on the scientific features)
3. Responsible for conducting clinical/epidemiologic research, analysis of data, interpreting of the data for efficacy, safety, clinical effectiveness and epidemiological assessments 

1. Reviewing, assessing and using Real-World Data for the research purposes to address clinical/research questions
2. Networking, integrating and using EMR(electronic medical records)/EHR(electronic health record) data for the clinical /epidemiological research
3. Using/applying bioinformatics methodologies to analyze medical big data/database/scientific research

資格 License

＜必須 Mandatory＞

• PhD or Master degree in public health or equivalent (individuals holding MD/biological/pharmaceutical science degree may be acceptable, but should have had the sufficient experience specialized in clinical development/epidemiological research)

• MD degree is desirable on top of the public health

能力 Skill-set

＜必須 Mandatory＞

• Apply appropriate study design & analytical methods to observational / Epidemiological / pragmatic interventional studies to combine business and scientific agenda
• Lead the interpretation of the scientific data, the translation to the appropriate messaging and drafting manuscript of relevant scientific publications 
• Take a leadership in analyzing medical evidence gap, spotting opportunities/requirements for evidence generation and integrate them into a clear evidence plan/option in the cross-functional team
• Assess scientific feasibility in using/integrating databases for the research purposes
• 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 
• Effective communication and interpersonal skills to enable effective leadership, coaching and collaborations

• Apply health technology assessments to make clear drug characteristics

語学 Languages

＜必須 Mandatory＞

日本語 Japanese：
• Read/write scientific documents including data speculation in Japanese
• Communicate/discuss IT/bioinformatics topics with the key stakeholders and experts in Japanese practically
英語 English：
Read/write scientific documents including data speculation in English
• Communicate, and discuss IT/bioinformatics topics with the key stakeholders and experts in English 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 environment in AZ KK
• Learn new methodology and knowledge with respect to machine learning and neural network

Date Posted

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.