Structure Therapeutics develops life‐changing medicines for patients using advanced structure‐based and computational drug discovery technology. The company’s platform combines the latest advancements in visualization of molecular interactions computational chemistry and data integration to design orally available superior small molecule medicines that overcome current limitations of biologic and peptide drugs. We are advancing a clinical‐stage pipeline of differentiated treatments focused on chronic diseases with high unmet need including cardiovascular metabolic and pulmonary conditions. Structure Therapeutics is led by an experienced group of international drug innovators and financed by top-tier global life sciences investors. The company completed an initial public offering (IPO) in February 2023. With offices in California and Shanghai Structure Therapeutics has the benefit of being at the center of life science innovation in both the US and China and capitalizing on the strengths of each geographic location.
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
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.
Core Competencies Knowledge and
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.
PhD in Pharmacology or Biology Strong academic background with solid training throughout undergraduate and graduate training. Strong experience in in vivo study design and execution. Typically 8+ years of relevant experience.
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