# Director, Quantitative Systems Pharmacology at Eisai Us

- Company: Eisai Us
- What the company does: Eisai Inc. (pronounced ā-zī) is a U.S. pharmaceutical subsidiary of Tokyo-based Eisai Co., Ltd., a research-based human health care (HHC) company that discovers, develops, and markets products throughout the world. Established in 1995, Eisai Inc. Backed by North Carolina Biotechnology Center.
- Company website: https://us.eisai.com
- Type: Startups
- Level: Principal and up
- Location: 2 Locations
- Work setup: On-site
- Pay: $208K to $273K base salary per year (USD)
- Posted: 2026-09-24
- Apply by: 2026-11-08
- Apply: https://eisai.wd5.myworkdayjobs.com/en-US/eisai/job/United-States-Remote/Director--Quantitative-Systems-Pharmacology_R4253
- Page: https://www.1752.vc/careers/jobs/eisai-us-director-quantitative-systems-pharmacology/

## About the role

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer’s disease.

## What they're looking for

- PhD, MD-PhD and/or PharmD in Bioengineering, Systems Biology, Applied Mathematics, Computational Biology, Pharmacometrics, Chemical Engineering, Pharmaceutical Sciences, or a related quantitative discipline
- Minimum 8-10+ years of industry experience in QSP, systems biology, pharmacometrics, computational biology, AI for drug discovery, or related disciplines
- Deep expertise in quantitative systems pharmacology (QSP), mechanistic modeling, systems biology, and translational science
- Demonstrated experience applying QSP approaches to support drug discovery and/or clinical development programs with measurable program impact
- Strong understanding of pharmacology, physiology, immunology, molecular biology, and disease mechanisms
- Ability to learn quickly in new areas of biology and to use a solid foundation of quantitative skills to apply newly acquired knowledge to build mechanistically sound QSP models