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Data management, Modeling and Simulation deliverables
Manage the data required to perform the POPPK analysis
Develop and validate population PK / PKPD / exposure-response models to support designing clinical studies and facilitate biowaivers within the Model Informed Drug Development (MIDD) paradigm
Run clinical trial simulations to predict - Dose-response, Special population PK, Alternative dosing regimens etc
Regulatory deliverables
Prepare POPPK reports for Clinical pharmacology sections (NDA/ANDA/505b2) and develop model documentations
Support regulatory queries and Label recommendations
Cross-functional team (CFT) management
Engage with multiple internal (clinical regulatory) and external stakeholders (consultants and consulting firms) to design and streamline solutions for emerging challenges to achieve deliverables. Facilitate CFT to resolve the issues / concerns / problems / challenges pertinent to achieve deliverables
Additionally manage logistics such as organising the meetings, and payments to vendors.
Programming / Technical Execution
Maintain the software(s), build automated workflows and ensure QC, traceability & compliance
Major Challenges
Key Interactions
Internal
External
Clinical R&D for execution and update of project status (as per need basis)
Regulatory department for execution and update of project execution (as per need basis).
Technical consultants for inputs and issue resolution (as per need basis)
Dimensions
Number of successfully executed projects with preset deliverables
Number of projects completed within given timelines and budget
Number of lapses in agreed work process (i.e., tasks both technical and logistical)
Key Decisions:
Decisions
Recommendations
Data Interpretation, Modelling Strategy and Submission Deliverables
Define model adequacy, variability, covariate significance
Select modelling approach (POPPK/PD) structure and covariates
Define modelling evidence & reports for regulatory submission
Support cross-functional Influence on dose selection, trial simulation and labelling recommendations
Drive decisions with clinical and regulatory teams on
Recommend dose, regimen, adjustments
Simulate scenarios to optimize design
Dose adjustments, warnings, instructions
Comments:
Skills & Knowledge
Educational qualifications:
M.S/M.Pharm/PhD in Pharmaceutics, pharmacology, clinical pharmacy, PharmD
Relevant experience:
3-5 years of relevant technical expertise and experience in population PK/PD model development and validation and excellent hands on in POPPK/PD software(s), preferably PUMASAI.
Should have handled cross functional teams and led the technical team
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