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Associate Director, Global Oncology Medical Affairs, Medical Analytics

Job in Basking Ridge, Somerset County, New Jersey, 07920, USA
Listing for: Daiichi Sankyo US
Full Time position
Listed on 2025-12-14
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Location: Basking Ridge

Associate Director, Global Oncology Medical Affairs, Medical Analytics

Join to apply for the Associate Director, Global Oncology Medical Affairs, Medical Analytics role at Daiichi Sankyo US
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Join a Legacy of Innovation 125 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 world‑class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its
18,000 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 rare diseases and immune disorders.

Summary

The Associate Director, Global Oncology Medical Affairs, Medical Analytics will be responsible for managing the digital analytics infrastructure and developing and executing analytical capabilities for the Medical Affairs function. This role will leverage advanced analytics, data science methodologies and various medical data sources and real‑world evidence needed to support decision‑making processes. This role will also oversee medical data governance to ensure appropriate data‑use and analytical best practices.

Innovative analytical methodologies led by the Medical Analytics Lead will be used to support key projects like Medical insights Mining, Care Gap Analysis, Medical Affairs Impact and Omnichannel strategy. This is a global role which will work across regions, functions and assets to identify and leverage synergies across analytics teams.

Responsibilities
  • Data‑Driven Insights Reporting and trend analytics:
    Lead the development and implementation of robust analytics frameworks, Gen‑AI and NLP to analyze complex field medical engagement and other KEE engagement data to derive actionable insights for Medical Affairs. Partner with stakeholders to generate comprehensive reports and dashboards to communicate key findings and recommendations to internal stakeholders, including senior leadership and medical affairs teams. Ensure utilization of advanced analytics techniques to identify HCP sentiment trends, unknown/actionable insights, data gaps and potential actions.

  • Impact Measurement (Internal External):
    Partner with internal stakeholders to identify the data and design the visualization to measure and report medical affairs impact including execution, leading and lagging metrics that tie to the medical affairs strategy. Update the metrics in a regular cadence based on feedback from HCP interactions, patient outcomes and evolution of medical affairs strategy.

  • Pilot Analytics projects:
    Evaluate technologies and platforms that support a minimal viable product for various Medical Affairs analytical initiatives related to Omnichannel Engagement, Evidence Planning and Care gap. Partner with technology teams on platform management and as pilots become successful, scale up initiatives into larger projects.

  • Digital Initiative Assessment (e.g., Predicted vs. Actual):
    Evaluate the success and performance of digital/analytical initiatives by comparing predicted outcomes with actual results, identifying discrepancies and opportunities for improvement; develop and track metrics to evaluate impact of initiatives; partner with Operational Change Management team to develop change management strategy which will increase user adoption.

Qualifications
  • Education: Bachelor's Degree, preferably in data science or related field, required;
    Advanced degree – including PhD / Pharm

    D, MD or related degree preferably in Oncology preferred; MBA or other related degree preferred.

  • Experience: 7 or more years overall related experience or commensurate education/experience (with at least 5 of the minimum 7 years being relevant, professional level experience) required; 4 or…

Position Requirements
10+ Years work experience
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