【AstraZeneca】※Business Level Japanese Required※【Medical】Data Scientist/Senior Data Scientist, Medical本部 EOR Data Science

Hiring By - Biostaffic



Job Highlights

Not Disclosed

Posted 4 months ago
Job details
※Business Level Japanese Required※
  • Read/write scientific documents including data speculation in Japanese
  • Communicate, and discuss data analytic topics with the key stakeholders and experts in Japanese practically
■ 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 the following roles. DS directly reports to the director of Data Science, EOR.
  • Advice/co-leading of AZSS
To provide advises about study design, endpoints, analysis, and interpretation of study result from an Epidemiological point of view and lead observational/database research with team members in Medical Div.
  • Assessment of study design/target population/data source/data handling
To review plans of observational/database research and support for necessary documentations(clinical study protocol, Statistical analysis plan, speculation, and clinical study report/manuscript)
  • Oversight of venders (timeline management, quality of outputs, & resource)
To oversee vender performances to achieve responsible studies effectively
  • Survey the necessary information for data assets
To survey databases that AZ is/will be able to access for using our research
■ 応募資格(経験、資格等)/ Qualification (Experience & Skill etc.)
【経験 / Experience】
<必須 / Mandatory>
・Make protocols for clinical trial(CT)/observational study(OS)
・Interpret research results and make presentations at the academic association meetings/manuscripts
・Possible target positions including:
Epidemiologist (public health)/HEOR/ Statistician(STAT)/Clinical research Associate(CRA)/Data Management (DM)/Project leader (PM) in clinical development
<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 electronic medical records (EMR)/electronic health record(EHR) 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/Public health/informatics) or equivalent
  • Professional Data analytics
<歓迎 / Nice to have>
  • PhD of the Public health, Epidemiology & Biostatistics is desirable
  • Individuals holding MD/pharmaceutical science degree
【能力 / Skill-set】
<必須 / Mandatory>
  • Programming skill for Python/R/SAS/other language
  • Ability in defining data specification of health care data for research purposes
  • Medical writing/Publication of own researches
  • Ability in discussing study plan/result interpretation with external experts
  • Scientific communication skill
<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
  • Identification/Assessment of healthcare data for pharmacoepi studies
【語学 / Language】
<必須 / Mandatory>
日本語 Japanese:
  • Read/write scientific documents including data speculation in Japanese
  • Communicate, and discuss data analytic 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 data analytic 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
【キャリアレベル / Career Level】
D or E
【勤務地 / Work Location】
Osaka or Tokyo

Benefits Offered?

  • No

Bonus Offered?

  • No

Travel Required?

  • No


  • Japan

Global Experience Needed?

  • No

Specialized Experience Needed?

  • No

Apply before:

  • Apr 14, 2024
Company Overview

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