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Data Scientist
3 months ago
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 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. 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.
Summary
The candidate will work in Metrics, Analytics, Reporting and Solutions (MARS) group as part of the Data Science Team. The candidate will focus on a variety of Data Science projects across the board leveraging data from multiple internal R&D Systems and external Data Vendors enabling Data Driven culture across all R&D. The candidate will develop data science models and AI/ML tools enabling proactive risk monitoring, pattern detection and predictive analytics. This is a very technical role, and we are looking for a candidate with strong technical acumen and passion for data science and AI/ML programming.
Responsibilities
- Data Analysis
o Apply descriptive, predictive, and prescriptive analytics to inform business decisions throughout all stages of clinical study.
o Translate data analysis output into formalized messaging, insights and actions and communicate effectively to stakeholders.
o Design AI/gen-AI tools to translate natural language into data queries (i.e., AI chat with relational database) to support business decision intelligence
- Forecasting
o Build advanced statistical models and tools to support Forecasting, Resource Allocation and Timeliness of clinical trial operational progress and milestones.
o Develop state-of-art AI/ML algorithm to predict the outcomes such as the number of sites activated, and the number of subjects enrolled
- Competitive Intelligence Benchmarking
o Analyze trial-related data to support external benchmarking studies as well as driving the internal communication using respective data outputs or tools.
o Extract insights from publicly available data to inform trial planning.
o Create technical means to identify new patients and sites using Real-World Evidence or epidemiology data
- Risk Management Data Surveillance
o Develop a centralized mechanism to analyze, alert predict the site-, country-, study-, and portfolio-level risks issues for ongoing and future clinical trials.
o Design AI/gen-AI tools based on LLM framework to automate document review, prompt risk assessment, and inform early intervention for ongoing clinical operations
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 Bachelor's degree or higher degree in Data Science or related discipline from an accredited university required
- Master's Degree preferred
Experience Qualifications
- 4 or More Years 3+ years of experience required as a Data Scientist in Pharmaceutical Industry/ Health care or equivalent working with Clinical Trials Operational data / Real World Data required
- Excellent knowledge and experience of coding in Python, R & R Shiny preferred
- Strong experience in building supervised and unsupervised machine learning methods and deploying them into production (i.e., regression models, random forests, decision trees, NLP, clustering etc.) preferred
- Strong Experience with data visualization tools preferred
- Ability to explain tough technical insights to non-technical stakeholders preferred
- Strong problem-solving skills preferred
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.
