We're looking to connect with strong clinical pharmacologists who stem from the Quantitative Systems Pharmacology side and are eager to join a well-established pharmaceutical who keeps developing groundbreaking products.
Key Responsibilities:
- Strategic Leadership: Develop and execute the strategic vision for quantitative systems pharmacology (QSP) and data analytics to support the discovery, development, and optimization of therapeutic candidates.
- QSP Modeling: Lead the design and application of QSP models to predict drug behavior, optimize dosing regimens, and support decision-making throughout the drug development process.
- Data Integration: Oversee the integration of diverse data sources, including preclinical, clinical, and real-world data, to inform pharmacology models and drive actionable insights.
- Cross-Functional Collaboration: Work closely with research, clinical, regulatory, and commercial teams to ensure that QSP and data analytics efforts are aligned with broader organizational goals and regulatory requirements.
- Regulatory Support: Provide expertise and support in the preparation of regulatory submissions, ensuring that QSP models and data analytics are effectively communicated to regulatory agencies
Qualifications:
- Education: Ph.D. in Pharmacology, Systems Biology, Computational Biology, or a related field; advanced training in quantitative systems pharmacology is highly desirable.
- Experience: Minimum of 10 years of experience in QSP and data analytics within the biotechnology or pharmaceutical industries, with a proven track record of success in drug development.
- Technical Expertise: Deep expertise in QSP modeling, pharmacometrics, computational biology, and data analytics tools (e.g., MATLAB, R, Python).
