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Senior Director, Head of Pharmacometrics, Translational Science

Employer
Eisai Inc.
Location
Nutley, New Jersey
Start date
Nov 15, 2024
View more categoriesView less categories
Discipline
Science/R&D, Pharmacology, Pharmacokinetics
Required Education
Doctorate/PHD/MD
Position Type
Full time
Hotbed
Best Places to Work
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. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference.  If this is your profile, we want to hear from you.

Eisai is searching for a creative, resourceful, integrative thinker who is driven to use cutting edge modeling approaches to advance the clinical and translational research in Neuroscience. This individual will provide scientific leadership to develop and execute impactful pharmacometrics strategies in support of key decisions for programs across all phases of drug development. The complexity and scale of data being generated has grown significantly and requires strong scientific contributions to integrate different approaches in modeling, statistics, and data science to bring value to the Eisai portfolio. This role requires diverse modeling experience in drug development within pharma/biotech, agility in being able to handle both hands-on modeling and strategic leadership for a dynamic project portfolio and a strong track-record of scientific and collaborative leadership in complex projects and initiatives.

Essential Functions

  • In-depth modeling skills, ability to translate complex problems into incisive models.
  • Develop and execute mechanistic PK/PD models of neurodegenerative diseases, including physiologically-based pharmacokinetic (PBPK), quantitative system pharmacology (QSP) models, clinical trial simulations, literature meta-analysis, machine-learning/deep learning and other state of the art quantitative techniques.
  • Represent Pharmacometrics and effectively communicate pharmacometric input to key management and decision boards.
  • Develop pharmacometrics strategies for Translational Medicine (in particular using continuous, longitudinal biomarkers) and various big, digital, historical data groups and initiatives.
  • Proven leadership skills managing complex technical and scientific team members, providing support within the disease area, and increasing their effectiveness and expertise by coaching and mentoring.
  • Proficiency in written and verbal communication, interdisciplinary collaboration, and problem scoping and planning.
  • Experience and disease knowledge in neuroscience is preferable.

Qualifications

  • PhD or PharmD in Pharmaceutical Sciences, Clinical Pharmacology, Applied Mathematics, Engineering or related area with strong background in the application of mathematical and statistical methods with 10+ years of experience.

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Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status.  Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

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