Principal Scientist to Associate Director, Pharmacology

Position Summary

He/She will lead the design, execution, and interpretation of in vivo pharmacology studies to support drug discovery programs. This role transitions from hands-on execution to scientific leadership, including experimental design, complex problem solving, and program-level contribution. The individual will ensure high standards of data quality, oversee internal QC practices, and contribute to IND-enabling activities. The role also supports lab operations and continuous improvement of workflows to ensure efficiency and compliance. Job Responsibilities:

• Design and oversee in vivo pharmacology studies, including efficacy and mechanism of action.- Troubleshoot complex experimental challenges and improve model robustness and translatability.- Review study data, records, and reports to ensure compliance with internal QC standards.- Serve as a key pharmacology representative on project teams and contribute to project strategy.- Support lab operations including equipment maintenance, SOP compliance and workflow optimization. - Mentor junior scientists and support development of team capabilities, SOPs, and best practices. - Contribute to IND-enabling pharmacology studies and support preparation of study reports and regulatory documents. - Analyze complex datasets and generate clear, decision-driving insights. - Ensure high standards of data integrity, reproducibility, and documentation. - Provide scientific guidance on model selection, study design, and data interpretation. Qualifications:

Core Competencies, Knowledge, and Skills

• Experience in metabolic disease research (e.g., obesity, diabetes, NASH) is strongly preferred. - Deep expertise in in vivo pharmacology and animal models. - Strong awareness of data integrity, QC processes, and regulatory expectations. - Strong data analysis, interpretation, and communication skills. - Good understanding of lab operations and study workflow coordination. - High standards of scientific rigor, integrity, and data quality. Education and Experience