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Salary: USD 148,757 - 168,800 / annual
Superluminal Medicines is a generative biology and chemistry company using deep biology, computational chemistry, machine learning, and proprietary data infrastructure to revolutionize small molecule drug discovery. The company aims to create candidate-ready compounds with unprecedented speed and accuracy.
You will provide scientific and technical leadership within the Pharmacology team, designing, conducting, and interpreting preclinical in vivo and in vitro studies to support lead optimization and progression of pipeline assets toward IND-enabling studies. Your work will focus on obesity and metabolic disease programs, translating target biology into robust translational screening cascades and lead optimization workflows.
Key responsibilities include:
- Lead in vivo pharmacology strategy across obesity and metabolic programs, designing and executing complex mouse and rat models from early discovery through IND-enabling studies
- Evaluate pathway-specific biology, receptor internalization kinetics, PD markers, and efficacy readouts to establish clear PK/PD relationships
- Work cross-functionally with Biology, Medicinal Chemistry, DMPK, Toxicology, and Translational Science teams to drive candidate selection and support IND filings
- Direct and oversee CRO activities for study design, model development, and execution, ensuring high scientific quality and timely data delivery
- Synthesize and present scientific findings to cross-functional program teams and maintain electronic data management
Requirements:
- Ph.D. in Pharmacology, Physiology, Biology, or related life sciences discipline with 5+ years of relevant experience
- 2+ years of biotech or pharmaceutical industry experience
- Demonstrated ability to independently design and conduct in vivo studies, analyze and interpret results, and communicate findings
- Experience with mouse and rat handling, dosing, blood collection, and tissue collection procedures
- Experience conducting pharmacology studies to support small molecule drug discovery
- Experience coordinating studies with CROs, including defining study requirements and reviewing deliverables
- Proficiency with statistical analysis and data visualization tools (GraphPad Prism, Excel) and metabolic profiling tools
- Experience contributing pharmacology data to development candidate nomination and supporting IND-enabling activities
Preferred qualifications:
- Experience with GPCR pharmacology, energy balance regulation, or endocrine signaling pathways
- Experience with diet-induced obesity (DIO), genetic obesity, insulin resistance, or metabolic disease models
- Experience supporting IND-enabling studies through planning, analysis, or report preparation
