Cell Models & Delivery Biology Principal Research Associate

Vertex Inc.•Boston, MA

10d•$88,200 - $132,400•Onsite

About The Position

Vertex is seeking a highly experienced and motivated Principal Research Associate to support discovery and optimization of Lipid Nanoparticles (LNPs) by developing, optimizing, and applying advanced in vitro cellular models and executing cell-based assays to evaluate delivery, uptake, and pharmacological activity of LNPs. This role is primarily laboratory-based and will focus on technical execution and method development across screening workflows and related delivery biology studies.

Requirements

Significant hands-on laboratory experience in cell culture and cell-based assay execution, imaging and/or flow cytometry, and protein-based assays.
Experience with laboratory automation and liquid handlers (e.g. Hamilton instruments)
Experience with one or more of the following: receptor biology and intracellular trafficking, LNP formulation/dosing, or culture of primary human epithelial cells from kidney, intestine, or lung etc.
Demonstrated ability to identify technical gaps, improve assay performance, and refine experimental workflows
Strong collaboration and communication skills, with the ability to work in a fast-paced research environment.
Experience executing high throughput screens for hit finding and lead optimization workflows.
Experience with one or more of the following: IND-enabling studies, data visualization, report writing, electronic lab notebook keeping (e.g. Benchling), or structured data documentation.

Responsibilities

Establish, optimize, and apply advanced 2D and 3D cellular models using primary cells, organoids/spheroids, and advanced cell culture platforms.
Execute and optimize automated cell-based assays and lead screening activities by generating data that informs hit identification, candidate progression, and lead optimization.
Apply imaging technologies, flow cytometry, protein assays, and molecular biology to characterize receptor biology, functional delivery, and immunological responses.
Troubleshoot assays, identify technical gaps, and contribute to improving model performance and experimental workflows to address scientific questions.
Lead adoption of new automation workflows and collaborate with engineering team to improve process.
Collaborate closely with cross-functional teams to design and execute experiments that drive hit identification and inform program priorities.
Prepare clear experimental summaries, data reports, and presentations; proactively communicate findings.