技能/経験

■ 応募資格(経験、資格等) / Qualification (Experience & Skill etc.)
【経験 / Experience】
＜必須 / Mandatory＞
・Plan study design, sample size calculation, analysis in clinical trials or DB researches
・Statistician/Statistical programming in clinical development or DB researches
・Research for statistical methodology
・Make a publication (presentation at Academic association meetings/manuscripts)

＜歓迎 / Nice to have＞
・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, analysing the health economics/technology and crafting value propositions

【資格 / License】
＜必須 / Mandatory＞
・Master degree in Statistics, Engineering, Science (Math, Physics, Iinformatics) or equivalent (MD/Public health/pharmaceutical science degree may be acceptable)
・Professional of statistics

＜歓迎 / Nice to have＞
・PhD in Biostatistics

【能力 / Skill-set】
＜必須 / Mandatory＞
・Programming skill of R, & SAS in clinical study/DB research
・Implementation of new technology & methodology 
・Publication/Medical writing of own research
・Exchange of insights about statistical subjects with external
・Presentation at meetings about study design, results, and statistical methodology

＜歓迎 / Nice to have＞
・ Programming skill of Python
・Lead meeting of which agenda includes statistical topics

【語学 / Language】
＜必須 / Mandatory＞
・Read/write statistical documents including study population in English/Japanese
・Communicate, and discuss Statistics/bioinformatics topics with the key stakeholders and experts in English/Japanese practically
・Make a English presentation, organize and facilitate the research/clinical study in the global meetings

【その他 / Others】
＜必須 / Mandatory＞
Skill/knowledge
・Interpretation of analysis results and present external members at the Academic conference/decision making meetings
・Innovative methodology for analysis (e.g. Machine learning & Neural network)