Data Intelligence Intern
Company: Daiichi Sankyo
Location: Basking Ridge
Posted on: November 26, 2025
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Job Description:
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
our 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 around rare diseases and immune disorders. We are
currently seeking a Data Intelligence Intern for Summer 2026. This
full-time position works for approximately 37.5 hours per week.
Responsibilities: The successful candidate will support an applied
research initiative focused on developing standardized benchmarks
for evaluating multimodal AI models in real-world evidence (RWE)
research. This project centers on constructing synthetic patient
cohorts that provide a reproducible, transparent testing
environment for predictive models. These synthetic cohorts enable
rigorous stress-testing under varying population characteristics,
disease prevalence, and treatment practices. Benchmarking will
emphasize clinically meaningful outcomes such as mortality, length
of stay, and adverse events—offering a systematic foundation for
assessing model performance, robustness, and generalizability.
Ultimately, this work aims to establish a scalable framework for
developing trustworthy AI systems that advance the use of
real-world evidence in drug development and healthcare
decision-making. In addition to this research project, the intern
will contribute to other ongoing business and data science
initiatives involving data analysis, model development, and report
generation. Key Responsibilities: Data Analysis • Apply data
science and statistical techniques to analyze complex data sets
relevant to ongoing research and business projects. • Support the
design, implementation, and maintenance of analysis pipelines and
data tools. • Prepare clear, well-structured reports,
visualizations, and presentations that summarize analytical
findings. Statistical Programming • Use programming languages such
as Python and R to perform data wrangling, statistical modeling,
and automated report generation. • Assist in developing and
validating AI/ML models for predictive or benchmarking purposes.
Team Collaboration • Collaborate closely with senior data
scientists, statisticians, and project stakeholders to ensure
analytical rigor and reproducibility. • Contribute to internal
discussions, project documentation, and knowledge-sharing sessions.
Professional Development • Engage in learning opportunities such as
seminars, workshops, and mentorship sessions. • Proactively build
expertise in data science, statistical methodologies, and relevant
software tools used in healthcare analytics. This internship offers
a hands-on opportunity to work at the intersection of AI, data
science, and real-world evidence, contributing to initiatives that
have direct implications for drug development and clinical
research. The role is ideal for candidates who are curious,
detail-oriented, and eager to apply quantitative skills to
impactful problems in healthcare innovation. Qualifications: •
Enrollment in a graduate-level program in Data Science, Computer
Science, Machine Learning, Statistics, Mathematics, or a related
field. • Excellent communication skills, both written and verbal. •
Ability to work effectively in a collaborative team environment. •
Strong analytical and problem-solving skills. • Enthusiasm for
learning and a strong interest in AI, machine learning,
programming, and data analysis. • Proficiency in Python (preferred)
or R. • Good knowledge of commonly used statistical methodology
(e.g., regression modeling) • Familiarity with machine learning
algorithms (Random Forest, Neural Nets, XGBoost, etc.) and concepts
(nested cross-validation, Explainable AI, etc.) • Strong attention
to detail and the ability to manage and organize data. • Compliant
with internal and external compliance practices to ensure the
integrity of work. Daiichi Sankyo, Inc. is an equal
opportunity/affirmative action employer. All 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. Salary Range: $17.23 -
$58.15 Download Our Benefits Summary PDF
Keywords: Daiichi Sankyo, Plainfield , Data Intelligence Intern, Science, Research & Development , Basking Ridge, New Jersey
