Principal Scientist, Clinical Pharmacology – Pharmacometrics

• Devising the clinical pharmacology and model informed drug development strategy via application of quantitative methods to integrate knowledge of nonclinical data (e.g., metabolism, BCS classification, pharmacology, safety), PK, PD (e.g., biomarker, efficacy, and/or safety), patient characteristics, disease states, competitive landscape, and drug interactions to influence go/no go decisions, support sub-population, dose and dosage regimen selection, and optimize study designs throughout drug development.
• Translate quantitative knowledge into strategic opportunities to influence development along the model-informed drug development principles.
• Planning and performing, or providing oversight, for appropriate analyses (e.g., non-compartmental, population and/or modelling and simulation analysis of PK and/or PD data) of preclinical-clinical translation and dose/exposure-response relationships, to guide dose regimen and optimize study design.
• Planning, summarization and interpretation of results of PK and PK/PD analyses with respect to their impact on a development program and clinical use.
• Planning and delivery of scientifically robust and efficient clinical pharmacology strategies for development candidates.
• Carries out functional responsibilities in accordance with applicable SOPs, regulatory requirements and Johnson & Johnson Credo principles.
• Planning, conducting, and/or providing oversight of PK and PK/PD analyses and reporting.
• Devising clinical pharmacology strategy including design of Phase I clinical pharmacology studies and/or use of alternate modeling approaches, consistent with regulatory guidelines.
• Managing and/or supervising elements of CPP studies.
• Developing key product differentiation strategies based on a compound’s key attributes and relevant therapeutic landscape.
• Defining regulatory strategy for CPP and prepare CP contributions to regulatory documents including IBs, IND’s, briefing books, submission packages, responses to health authority questions, and other regulatory documents.
• Represent CP in relevant external regulatory meetings (e.g., End of Phase 2, pre-NDA / MAA, Advisory Committee meetings).
• Participating in the evaluation of potential business development opportunities.
• Contributing to the knowledge of clinical pharmacology, model informed drug development, analysis methodology and overall drug development process, including regulatory guidance, and methods in modelling and simulation by engaging with the scientific community (e.g., publishing, presenting at meetings, participating in special interest groups within professional societies, etc.) and identify new opportunities for applied scientific and technical advancement within the department.
• Working effectively in team environments, managing CP deliverables in accordance with timelines and overall project goals.

• PhD, or equivalent degree in Pharmaceutical Sciences, Clinical Pharmacology, Biomedical Engineering, or relevant Biological Sciences, with 5+ years of experience in pharmaceutical or related fields.
• Understanding of PK, PD, PK/PD, and/or Translational Medicine required.
• Understanding of advanced analysis methods (e.g., population analysis, PBPK, QSP) and modeling tools (e.g., NONMEM, R, Gastroplus, Simcyp, Winnonlin, Matlab) required
• Understanding of overall process of drug development including model informed drug development (MIDD) and the overall pharmaceutical R&D process required.
• Working knowledge of regulatory requirements and guidelines required.
• Good oral and written communication skills, including ability to interpret PK and PKPD results and prepare presentations to communicate findings effectively required.
• Estimated both domestic travel and international of about 5% of time required.

Demonstrates expertise in clinical pharmacology and model-informed drug development, with a strong focus on pharmacokinetics (PK), pharmacodynamics (PD), and regulatory strategy. Proficient in advanced analysis methods and modeling tools to optimize study designs and support drug development processes.

• PhD In Pharmaceutical Sciences
• Understanding Of PK And PD
• Advanced Analysis Methods
• Modeling Tools (NONMEM, R, Gastroplus)
• Regulatory Requirements Knowledge

• Pharmacokinetics (PK)
• Pharmacodynamics (PD)
• Population Analysis
• Model-Informed Drug Development (MIDD)
• Dose/Exposure-Response Relationships
• Clinical Pharmacology Strategy
• Preclinical-Clinical Translation
• Statistical Analysis
• Data Interpretation
• Study Design Optimization

• Good Oral Communication
• Good Written Communication
• Team Collaboration
• Project Management

• Clinical Pharmacology
• Translational Medicine
• Regulatory Guidelines
• Pharmaceutical R&D Process
• Drug Development

• NONMEM
• R
• Gastroplus
• Simcyp
• Winnonlin
• Matlab