About this role
Associate Scientist - Technology-Enabled Experimental Inflammation Discovery
What you will do
Let’s do this. Let’s change the world. In this vital role you will contribute to target discovery and generating mechanistic insight by designing and executing cellular and molecular experiments, analyzing and integrating experimental data, and translating findings into biological insights and clear decisions. The successful candidate will routinely use AI-enabled, computational, and advanced data-analysis tools to enhance knowledge, hypothesis generation, experimental design, data analysis/visualization, and scientific communication. Deep experimental capability remains foundational; harnessing novel harnessing novel technologies will multiply its impact.
Key Responsibilities
-
Experience with complex cellular systems such as organoids, co-cultures, or other disease-relevant models.
-
Experience with skin-derived tissues/cells and primary immune-cell culture; experience with keratinocytes and/or mast cells is a plus.
-
Experience with multiparameter flow cytometry, quantitative imaging, assay automation, or high-content analysis is a plus.
-
Experience with mouse models, particularly in inflammation or immunology, is a plus.
-
Demonstrated interest or experience in applying AI-enabled scientific tools, coding or scripting, computational approaches, automation, or advanced data-analysis workflows to experimental research is highly desirable.
-
Experimental rigor and reliability: Takes pride in generating decision-quality data, with strong attention to controls, documentation, data integrity, organization, and experimental planning. Reliably manages samples, cells, timelines, and parallel workflows and follows through on commitments.
-
Scientific curiosity and problem solving: Seeks to understand the biology and mechanisms behind experimental observations. Approaches troubleshooting thoughtfully, challenges assumptions, and uses both experimental and computational evidence rather than simply executing protocols.
-
Technology fluency, collaboration, and learning agility: Is collaborative, receptive to feedback, and eager to learn and apply new scientific, computational, and AI-enabled approaches. Adapts quickly, shares effective practices, and uses technology pragmatically to improve the quality, speed, and scale of research.
-
What we expect of you
-
We are all different, yet we all use our unique contributions to serve patients. The scientifically rigorous professional we seek is an innovative experimental biologist with these qualifications.
Basic Qualifications:
-
Master’s degree and 1 year of scientific research experience in cell biology, molecular biology, immunology, or a related field
-
OR
-
Bachelor’s degree and 3 years of scientific research experience in cell biology, molecular biology, immunology, or a related field
Preferred Qualifications:
- Demonstrated hands-on experience in mammalian cell biology and molecular/cellular assay development, with evidence of strong experimental judgment and troubleshooting ability.
- Ability to analyze and communicate complex data clearly; experience with scientific data-analysis or visualization tools is expected, and familiarity with AI-enabled or computational workflows is preferred.
- Strong organizational, collaboration, and scientific documentation skills, with the ability to work with moderate discretion and limited supervision while contributing effectively to multidisciplinary project te