Research Associate, Flow Cytometry
BioHubNew York, NY (Onsite)$68k – $94kPosted 12 March 2026
Job Description
Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.
The Team
Our immune cell reprogramming team integrates foundational research on immunology and disease biology with AI-modeling to develop engineered cells that harness our own immune system to detect and treat early signs of age-related diseases, like cancer, Alzheimer’s, and Parkinson’s. These technologies will enable precise, context-dependent therapeutic responses only when and where it is needed. You can learn more about our work here .
Our work brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine.
Our Vision
Pursue large scientific challenges that cannot be pursued in conventional environments
Enable individual investigators to pursue their riskiest and most innovative ideas
Facilitate research by scientists and clinicians at our home institutions and beyond
We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease.
The Opportunity
Biohub is seeking a skilled and collaborative Research Associate to support the development and operation an Multiomics and Immune Profiling Lab (MIP Lab) at
Yale University (in Biohub Yale Annex) . Responsibilities include managing human samples, processing PBMCs, and focusing on immunology, flow cytometry, and cell-based assays and technologies. The person will implement functional cell-based and immunological assays, perform cell sorting and flow cytometry analysis in support of large-scale collaborative projects. This position is ideal for someone who is passionate about immunological technologies and cell-based assays and thrives in a team-oriented, high-throughput environment.
The mission of Biohub—a collaborative effort between CZI, Yale, Columbia, and Rockefeller Universities—is to harness the human immune system for early disease detection and prevention. We are developing cutting-edge approaches to decode immune cell trafficking and sensing, engineer immune cells, and decipher the disease sensing code of immune cells throughout the body. The MIP Lab will implement and develop cutting-edge immune monitoring, profiling, and engineering technologies to support the mission of the Biohub and its Annex at Yale. The selected candidate will join a dynamic and exciting team and this position will allow the candidate to continue to build and expand their laboratory, scientific, and cross-disciplinary teamwork skills.
What You'll Do
Maintain and operate cell sorter and spectral flow cytometers.
Manage human samples; coordinate sample processing and experimental workflows with collaborating investigators.
Design and execute complex spectral flow cytometry experiments, including multi-parameter panel optimization and data acquisition.
Set up and optimize in vitro cell stimulation assays and functional immunological readouts.
Establish and maintain primary cell culture systems and immortalized cell lines for immunological studies.
Develop and implement standardized protocols for cell-based assays, including viability assessment, proliferation assays, and cytokine measurements.
PBMC isolation and processing.
Perform quality control analysis of flow cytometry and immunological assay data to support experimental trouble ... (truncated, view full listing at source)
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