Data Scientist, R&D Excellence

Basking Ridge, NJ
Nov 25, 2021
Pharm Country
Required Education
Bachelors Degree
Position Type
Full time

Join a Legacy of Innovation 110 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 100 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 15,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group's 2025 Vision to become a "Global Pharma Innovator with Competitive Advantage in Oncology," Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.


Responsible for using advanced analytics working with both structured and unstructured data to solve business problems and deliver insights into future R&D delivery. Build user dashboards, reports and visualization tools for day-to-day business consumption. Explore, connect and translate data from segmented internal and external systems to enable proactive risk and pattern detection, historic baselining and predictive modeling . Drive productivity improvements through the use of automation, converting manual labor intensive tasks into automated data driven processes.


    • Reporting
      o Support the collection of requirements, technical build, testing, deployment and ongoing maintenance of reports both within and outside of R&D Systems
    • Data Analysis
      o Apply descriptive, predictive and prescriptive analytics to inform business decisions throughout all stages of clinical trial delivery
      o Consolidate data from multiple sources into Microsoft excel (or other means) and build calculations, pivot tables, charts and conditional formatting to extract insights from the Data
      o Translate data analysis into formalized messaging, insights and actions using PowerPoint and communicate effectively to stakeholders
    • Resourcing
      o Build more advanced statistical modeling and tools to support Resource Forecasting, Allocation and Time reporting to improve current and future workload planning, accounting for portfolio changes/complexity and external alliance partnerships
    • Application Development
      o Build, maintain and train end users on how to maximize decision support tools and self service reporting app using platforms like Spotfire, Tableau, PowerBI and others
    • Data Integration & Governance
      o Partner closely with IT to identify and harness new data sources for integration into Data Lake for future reporting
    • Competitive Intelligence & Benchmarking
      o Responsible for the submission of trial related data to support external benchmarking studies along with driving the internal communication and use of the respective data outputs/tools
      o Extract insights from public source data to inform current trial planning
      o Create technical means to identify new patients and sites using Real-World Data
    • Risk Mgmt & Data Surveillance
      o Enabling the Risk Based Quality Management (RBQM) team through:
       The technical development of a central mechanism to capture, analyze and track the mitigation of site, country, trial and project risks & issues
       Building automated data checks and alerts to detect pattens of risk to prevent larger issues from emerging
    • Build data & technology approaches supporting in-stream inspection readiness
    • Training
      o Support the delivery of data and technology driven training & business end user support
    • Data Quality
      o Support the upload/cleaning of historical trial data into systems like the CTMS along with building source system data quality checks
    • Enforce & monitor new data collection standards with 3rd parties to increase internal visibility of trial risks and performance through defined set of key metrics
    • Metrics
      o Produce KPIs, KRIs, KQIs and QTLs for all levels and functions within R&D, partnering with existing metrics SMEs to ensure harmonization
      o Support the collection of annual and trial specific targets
      o Support the tracking of Measures of Success for all Non-Drug related initiatives
      o Calculate measures of 3rd Party performance to inform instream actions and long-term strategic decisions

Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.

Education Qualifications (from an accredited college or university)

Bachelor's Degree required Master's Degree preferred

Experience Qualifications

  • 4 or More Years Minimum of 4-6 years’ experience developing advanced analytics, metrics, systems/technology and process automation, using both structured and unstructured data along with building visualization platforms and statistical algorithms

disability, protected veteran status, age, or any other characteristic protected by law.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.