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Associate Director, Statistics, Data Science

応募後で応募 求人ID R0025076 掲載日 11/17/2020 Location:Boston, Massachusetts

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Job Description


  • Provide leadership and expertise in analytical support of real-world data research, outcomes research, biomarkers, digital solutions and artificial intelligence/machine learning (AI/ML) projects.
  • Drive implementation of data science strategy for safety and health-value research to ensure that analytical methodologies are acceptable to regulatory agencies and publications.
  • Provide leadership and expertise in development and implementation of innovative analytical tools, utilities and standards for data analyses of both clinical trial and real-world data.
  • Provide technical expertise in system security and technical support for data transparency and disclosure


  • Represent the function in company-wide data science initiatives. Lead the initiative execution and delivery strategies related to both risk identification and effective mitigations.
  • Lead and accountable for multiple data science projects in an assigned area.
  • Enable the tactical execution of the SQS and DSI vision and mission.
  • Proactively implement delivery strategies to incorporate data science research to clinical development.
  • Drive and implement process efficiency and improvements for management of real-world databases by collaborating with outside vendors and internal stakeholders. 
  • Lead development of innovative solutions and standards for generating analyses datasets for common analyses from various data sources such as EHR and claims.
  • Provide mentorship, matrix or direct management of small team of SQS colleagues
  • Represent the function in external professional initiatives and organizations to identify industry best practice and increase the visibility of Takeda.
  • Ensures compliance of function with Takeda SOPs, standards and all applicable regulations.


  • PhD in Computer Science or related field with 5+ years of data science programming and development experience; or MS in Computer Science or related field with 8+ years of relevant experience; or BS in Computer Science or related field with 10+ years of relevant experience.
  • Strong project management and communication skills.
  • Expert knowledge of data science research, website development and interactive/dynamic interface using various data science programming languages such as JavaScript, RESTful Web Services, Python, MATLAB, Tableau, R, JMP.
  • General knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)
  • General knowledge of SAS programming language and core SAS software.
  • Expert knowledge of common programming and computing principles, strong experience with operating systems including Unix, Linux, and Windows; expertise in office software.
  • Experience in developing programming tools and utilities and implementing global analysis systems within bio-pharmaceutical industry
  • General understanding of regulations on computerized systems used in clinical trials and big data analyses, software development lifecycle and validation of computer tools and utilities
  • Working knowledge of data flow in clinical trials and real-world databases
  • Good knowledge of FDA, EMEA and ICH regulations and industry standards applicable to clinical study data and reporting on clinical trials, including data standards for electronic submissions, e.g. CDISC standards.
  • Ability to work independently on complicated data science projects.



Boston, MA

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Time Type

Full time