AstraZenecaMedical &, Senior Data Scientist
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Job Location:
Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
職務内容 / Job Description
A lead Data Scientist (DS) is an expert role in Real World Data(RWD) analysis to provide scientific expertise in evidence generation so that key research questions are sufficiently addressed and set target population for research. And all researches/analyses are planned and delivered in a way that represent cutting-edge science methodologies technologies processes and solutions in the Pharm industry. Lead Data Scientist reports to director of Data Science Medical.
Lead/co-lead observational/database research and data analysis including Market/R&D analysis
Assess study design/target population/data source/data handling/analytical method and give clear inputs from an epidemiological point of view
Oversee venders and manage timeline quality of outputs resource & cost of their responsible researches
Survey & assess the necessary information for database and recommend database that fits for research/analytical purpose
Develop AI use fit for purpose
Implement AI (including Generative AI) to their work process not only for simplifying DS regular tasks but also for advancing them
Support for PARCS led by Pharmacovigilance department
応募資格(経験資格等) / Qualification (Experience & Skill etc.)
経験 / Experience
必須 / Mandatory
Design analyze interpret and publish researches for Data Science/Epidemiology/Clinical/Statistics
Manage and/or lead group of members who are responsible for conducting clinical/epidemiologic research analysis of data reading of the data for efficacy safety clinical effectiveness and epidemiological assessments (acceptable even if the leadership is primarily focused on the scientific features)
Make manuscript for their own specialized topics
歓迎 / Nice to have
Reviewing assessing and using Real-World Data for research purposes to address clinical/research questions
Networking integrating and using EMR(electronic medical records)/EHR(electronic health record) data for clinical /epidemiological research
Using/applying bioinformatic methodologies to analyze medical data/database/scientific research
資格 / License
必須 / Mandatory
Masters degree in public health or equivalent (individuals holding Data Science/Engineering/Pharmaceutical science/biostatistics degree are acceptable but should have had the sufficient experience specialized in clinical development/epidemiological research)
歓迎 / Nice to have
PhD in Data Science/Engineering/Pharmaceutical science/biostatistics or MD degree is desirable
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
Develop AI for making efficient way for daily work
Manage project in planning execution and assessment and apply the tools/frameworks/concepts to drive the effectiveness/performance of project teams
Solid communication and interpersonal skills to enable effective leadership coaching and collaborations
歓迎 / Nice to have
Develop prompt of AI to get accurate answers
Apply health technology assessments to make clear drug characteristics
語学 / Language
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
歓迎 / Nice to have
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
歓迎 / Nice to have
キャリアレベル / Career Level
E
勤務地 / Work Location
Osaka or Tokyo
Date Posted
06-2月-2026Closing 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.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more
