
Senior Scientist/Principal Scientist, Quantitative Pharmacology (Contractor)
BioSpace · Somerset, NJ
- On site
- Contract
- $130,000 / year
- Somerset, NJ
Job highlights
- Lead modeling and simulation for gene/cell therapies.
- Shape clinical pharmacology and regulatory strategies.
- Develop mechanistic models for disease and drugs.
- Conduct simulations for dose and trial design.
- Collaborate with cross-functional R&D teams.
About the role
Senior Scientist/Principal Scientist, Quantitative Pharmacology (Contractor)
Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking Senior Scientist/Principal Scientist, Quantitative Pharmacology (Contractor) as part of the Research & Early Development team based in Somerset, NJ.
Role Overview
The position seeks a highly motivated and experienced quantitative pharmacologist to lead modeling and simulation efforts in support of gene and cell therapy products, with a focus on QSP and popPK modeling (Prior cell and gene therapy experience preferred).
Contract Duration: 12 Months
Key Responsibilities
- Lead QSP and popPK modeling activities across preclinical and clinical development stages.
- Play a pivotal role in shaping clinical pharmacology strategies, supporting regulatory submissions, and driving innovation in model-informed drug development (MIDD).
- Develop and apply mechanistic models to understand disease pathways, drug mechanisms, and patient variability.
- Conduct simulations to support dose selection, trial design, and exposure-response analyses.
- Collaborate cross-functionally with R&D, clinical, regulatory, and biostatistics teams.
- Author and review clinical pharmacology sections of regulatory documents (e.g., INDs, NDAs).
- Contribute to scientific publications and conference presentations.
Requirements
- R&D, Preclinical development, Clinical, CMC and regulatory
- MS/PhD/Pharm D in Pharmaceutical Sciences, Clinical Pharmacology, Applied Mathematics, Biomedical Engineering, or related quantitative discipline.
- 7+ years with MS degree or 3+ years with PhD/Pharm D degree of working experience in quantitative pharmacology or pharmacometrics in pharmaceutical companies or CRO companies (Job titles will be decided per applicant’s working experience)
- Have strong execution ability
- Strong independent scientific research ability, logical thinking, and coordination/problem-solving skills
- Have clear written and oral communication skills
- Have a good team spirit
- Demonstrated expertise in QSP and popPK modeling, including proficiency with tools such as NONMEM, R, MATLAB, Monolix, etc.
- Deep understanding of PK/PD principles, translational medicine, and the role of quantitative pharmacology and model-informed drug development (MIDD) in clinical trials and drug development.
- Demonstrated ability and experience in applying modelling and simulation approaches to enable rational and efficient preclinical and clinical drug development.
- Familiar with regulatory requirements and guidelines of clinical pharmacology.
- Good project management skills, and the ability to collaborate with other departments and manage with internal and external partners.
- Proven track record of scientific contributions through publications or presentations.
- Good personality, honest and trustworthy.
- Physically and mentally healthy, love life.
Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
For information related to our privacy notice, please review: Legend Biotech Privacy Notice.
Key skills/competency
- Quantitative Pharmacology
- Pharmacometrics
- QSP Modeling
- PopPK Modeling
- NONMEM
- R Programming
- MATLAB
- Clinical Pharmacology
- Model-Informed Drug Development (MIDD)
- Regulatory Submissions
Skills & topics
- Quantitative Pharmacology
- Pharmacometrics
- QSP Modeling
- PopPK Modeling
- NONMEM
- R Programming
- MATLAB
- Clinical Pharmacology
- Model-Informed Drug Development
- Regulatory Submissions
- Biotechnology
- Cell Therapy
- Gene Therapy
- Drug Development
- PK/PD
- Translational Medicine
- Preclinical Development
- Clinical Development
- Biostatistics
- MS
- PhD
- PharmD
- Contractor
How to get hired
- Customize your resume: Highlight quantitative pharmacology, modeling, and simulation experience. Tailor keywords to the Senior Scientist, Quantitative Pharmacology role.
- Showcase relevant experience: Emphasize your MS/PhD and 7+ years (MS) or 3+ years (PhD) in quantitative pharmacology or pharmacometrics.
- Prepare for technical questions: Be ready to discuss your expertise in QSP, popPK, NONMEM, R, and MATLAB.
- Demonstrate collaboration skills: Highlight your ability to work with R&D, clinical, and regulatory teams.
- Articulate your impact: Be prepared to discuss your scientific contributions through publications and presentations.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the contract duration for the Senior Scientist, Quantitative Pharmacology role at Legend Biotech?
- The contract duration for the Senior Scientist, Quantitative Pharmacology position at Legend Biotech is 12 months.
- What are the primary modeling techniques required for the Quantitative Pharmacology role?
- The role requires expertise in Quantitative Systems Pharmacology (QSP) and population Pharmacokinetics (popPK) modeling. Experience with tools like NONMEM, R, MATLAB, and Monolix is essential.
- What educational background is preferred for this Quantitative Pharmacology position?
- A Master's, PhD, or PharmD in Pharmaceutical Sciences, Clinical Pharmacology, Applied Mathematics, Biomedical Engineering, or a related quantitative discipline is required. Experience levels vary based on degree.
- Will contractors receive employee benefits at Legend Biotech?
- No, benefits are exclusively offered to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
- What is the main focus of the Quantitative Pharmacology role at Legend Biotech?
- The role focuses on leading modeling and simulation efforts for gene and cell therapy products, with a specific emphasis on QSP and popPK modeling.
- What kind of collaborations can I expect as a Senior Scientist, Quantitative Pharmacology?
- You will collaborate cross-functionally with R&D, clinical, regulatory, and biostatistics teams, playing a pivotal role in shaping clinical pharmacology strategies and supporting regulatory submissions.
- What scientific modeling tools are essential for this Senior Scientist role?
- Proficiency with modeling and simulation tools such as NONMEM, R, MATLAB, and Monolix is a key requirement for this position.
- What is Model-Informed Drug Development (MIDD) in the context of this role?
- MIDD involves using quantitative pharmacology and modeling approaches to inform and guide drug development decisions, from preclinical stages through clinical trials and regulatory submissions, which is central to this role.