Job Description

General Summary:

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.

Key Duties and Responsibilities:

• Establish, optimize, and apply advanced 2D and 3D cellular models using primary cells, organoids/spheroids, and advanced cell culture platforms.
• Execute and optimize automatedcell-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.
• Leadadoption 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.

Knowledge and Skills:

• 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 identifytechnical gaps, improve assay performance, and refine experimental workflows
• Strongcollaboration 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.

Education and Experience:

• Masters Degree (or equivalent degree) in biological sciences and 2+ years of relevant employment experience, or
• Bachelors Degree (or equivalent degree) in biological sciences and 5+ years of relevant employment experience

Pay Range:
$88,200 - $132,400

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation:
On-Site Designated

Flex Eligibility Status:

In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Onsite