Step into a high-impact role where your expertise in Quantitative Systems Pharmacology (QSP) directly shapes the future of oncology treatments. You will lead the development of advanced platform models and Virtual Population simulations to optimize drug development strategies for life-changing therapies, including CAR-T and bispecifics. This position offers the unique chance to integrate AI and machine learning into traditional pharmacometric workflows, ensuring that cutting-edge science reaches patients more efficiently.
This role is based at a world-class, sprawling research and development campus in North Chicago, known for its collaborative atmosphere and state-of-the-art laboratory facilities. Working within a globally integrated team, you will bridge the gap between complex mathematical modeling and clinical application, providing the quantitative evidence needed to inform dose selection and trial design for a robust oncology portfolio.
location: North Chicago, Illinois
job type: Contract
salary: $55.00 - 63.76 per hour
work hours: 9 to 5
education: Masters
responsibilities:
- Develop and implement QSP platform models for diverse oncology mechanisms, including immune checkpoint inhibitors, ADCs, and T-cell engagers.
- Create and optimize Virtual Populations to capture patient heterogeneity and predict clinical outcomes through advanced simulations.
- Integrate AI and machine learning techniques to enhance literature screening, model drafting, and the optimization of virtual cohorts.
- Inform clinical strategy by delivering data-driven results regarding dose selection, treatment regimens, and optimal drug combinations.
- Collaborate with global cross-functional teams to align MIDD capabilities with broader clinical pharmacology and development goals.
- Manage complex datasets by performing mathematical and statistical analyses of biological and physiological processes.
qualifications:
Required Skills
- PhD or Master's degree in Quantitative Systems Pharmacology, Systems Biology, Pharmacometrics, or a related field.
- Extensive experience in QSP model development or Systems Biology modeling.
- Proficiency in Differential Equations and modeling biological systems.
- Expertise in Scripting Languages, specifically R, Matlab, or Python.
- Proven scientific track record in statistical modeling within a drug development context.
- Experience with AI/Machine Learning augmentation for pharmacometric workflows.
- Specific expertise in Oncology mechanisms (CAR-T, ADCs, or IO/ICI).
- Fluency in German is a plus to facilitate communication with global leadership.
- Strong communication skills with a "hands-on" scientific mindset.
skills: Oncology, Pharmacology, R Language
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
