Daiichi Sankyo, Inc.
Data and Statistical Science for Evidence Generation Intern
Daiichi Sankyo, Inc., Basking Ridge, New Jersey, us, 07920
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 and Statistical Science for Evidence Generation Intern for 6 months (June – December 2025). This full time position works for approximately 37.5 hours per week.
Responsibilities:
1. Implementing and executing innovative analyses, under supervision. 2. Developing and giving educational presentations for medical colleagues on methodology. 3. Sharing methodology and results with DSS-EG. 4. Developing expertise within programming team or creation of specs for programming to implement advanced causal methodologies.
Education/Experience: Pursuing master’s degree PhD Preferred
Qualified candidates must currently be enrolled in an accredited graduate program with a concentration in science or related field. Prior experience in a corporate business environment is preferred; experience in the pharmaceutical industry is a plus.
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.
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 and Statistical Science for Evidence Generation Intern for 6 months (June – December 2025). This full time position works for approximately 37.5 hours per week.
Responsibilities:
1. Implementing and executing innovative analyses, under supervision. 2. Developing and giving educational presentations for medical colleagues on methodology. 3. Sharing methodology and results with DSS-EG. 4. Developing expertise within programming team or creation of specs for programming to implement advanced causal methodologies.
Education/Experience: Pursuing master’s degree PhD Preferred
Qualified candidates must currently be enrolled in an accredited graduate program with a concentration in science or related field. Prior experience in a corporate business environment is preferred; experience in the pharmaceutical industry is a plus.
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.