Associate Director, Non-clinical, SQS Japan

JPN - Kanagawa - iPark, Japan

Takeda

Takeda is a patient-focused, R&D-driven global biopharmaceutical company committed to bringing Better Health and a Brighter Future.

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Job Description

”Better Health for People, Brighter Future for the World” is the purpose of a company. We aim to create a diverse and inclusive organization where people can thrive, grow and realize their own potential while enabling our purpose. We continue to innovate and drive changes that will transform the lives of patients. We’re looking for like-minded professionals to join us.

Takeda is a global values-based, R&D-driven biopharmaceutical leader. We are guided by our values of Takeda-ism, which has been passed down since the company’s founding. Takeda-ism incorporates Integrity, Fairness, Honesty, and Perseverance, with Integrity at the core. They are brought to life through actions based on Patient-Trust-Reputation-Business, in this order.

  • Provide statistical support for Takeda preclinical campaigns for design and analysis in the discovery and development of targets and molecules for one or more disease areas.

  • Collaborate with Computational Biology, Pharmacokinetics, and Safety scientists to explore methods and implement discovery strategies to enable data-driven decision making.

  • Apply frequentist, Bayesian, ML/AI fit-for-purpose statistical analyses across various projects and data types.

  • Serve as an expert and mentor in Quantitative Sciences group within implementing statistical development strategies using statistics and cross-disciplinary integrative data analytics.

Accountabilities:

  • Lead implementation of SQS strategies and ensure deliverables by representing data science function on project teams in support of preclinical studies throughout the drug discovery units and supporting functions.
  • Perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation.
  • Strengthen Takeda’s advanced analytics toolkit by identifying, promoting, and applying emerging techniques, as well as by developing novel analysis tools as needed.  
  • Collaborate effectively within a matrix environment, working with scientists across various areas to understand the problems in terms of its chemistry, biology, and/or physical natures and to tailor data analyses to program-specific needs.  
  • Work closely with Takeda statisticians to ensure statistical issues in data analysis are addressed.
  • Communicate internal and external resource and quality issues that may impact deliverables or timelines of the program.  Escalate issues to management as appropriate in a timely manner.
  • Respond to regulatory questions that are statistical in nature.
  • Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations.

Requirements:

  • Master’s degree or higher in statistics or related field
  • Good English communication skill in both written and verbal
  • High level of knowledge, expertise, and experience in biostatistics
  • High capacity for collecting information
  • Expert-level knowledge of data science programming languages (SAS, R, Python, or similar) and experience with recommended software development practices
  • Ability to work independently on complicated datasets, covering all aspects of data analysis
  • High level of expertise and experience in the pharmaceutical industry
  • Ability to judge regulatory risk and feasibility
  • Capacity to build statistical strategies for non-clinical work with fresh perspectives
  • Preparation for future business domains, such as AI/ML and Real-World Data
  • Strong communication and negotiation skills to lead non-clinical projects

Click here to find out Takeda’s Diversity, Equity & Inclusion

Better Health, Brighter Future

Takeda Compensation and Benefits Summary:

  • Allowances: Commutation, Housing, Overtime Work etc.

  • Salary Increase: Annually, Bonus Payment: Twice a year

  • Working Hours: Headquarters (Osaka/ Tokyo) 9:00-17:30, Production Sites (Osaka/ Yamaguchi) 8:00-16:45, (Narita) 8:30-17:15, Research Site (Kanagawa) 9:00-17:45

  • Holidays: Saturdays, Sundays, National Holidays, May Day, Year-End Holidays etc. (approx. 123 days in a year)

  • Paid Leaves: Annual Paid Leave, Special Paid Leave, Sick Leave, Family Support Leave, Maternity Leave, Childcare Leave, Family Nursing Leave.

  • Flexible Work Styles: Flextime, Telework

  • Benefits: Social Insurance, Retirement and Corporate Pension, Employee Stock Ownership Program, etc.

Important Notice concerning working conditions:

  • It is possible the job scope may change at the company’s discretion.

  • It is possible the department and workplace may change at the company’s discretion.

Locations

Fujisawa, Japan

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Bayesian Biology Biostatistics Chemistry Data analysis Data Analytics Drug discovery Machine Learning Pharma Privacy Python R R&D Research SAS Statistics

Perks/benefits: Conferences Equity / stock options Flex hours Health care Salary bonus

Region: Asia/Pacific
Country: Japan

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