Join us in our mission

You will help implement all the data needs for our platforms, CELLxGENE Discover, CryoET, as well as the new platform we are building that has a focus on data for AI and the virtual cell, in order to enable scientists to further interrogate our very large and growing corpus of data without any need to download the data itself or have any computational expertise. You will work on a collaborative, multidisciplinary team to develop solutions for our scientist users to accelerate their workflows and accelerate the pace of scientific discovery.

You will lead the development of a high-throughput adaptation of a newly established single-cell nascent RNA sequencing method (scGRO-seq) and apply it to patient biopsies and organoid models.

You will develop, troubleshoot, and improve complex and novel next-generation sequencing (NGS) assays. The ideal candidate will have extensive experience in molecular biology, cell engineering, lentiviral systems, and cloning, and will collaborate closely with computational scientists and AI experts to generate high-quality data for training unique computational models.

The “AI Applications in Biology Symposium” will bring together researchers at the intersection of machine learning and biological discovery, showcasing cutting-edge approaches across structural biology, imaging analysis, single-molecule biophysics, and omics data integration. Deliberately scheduled to coincide with the Biophysical Society Annual Meeting, this forum aims to create a dedicated space for researchers applying AI methods to biological problems – bringing together the computational community to share methodologies, discuss challenges, and explore innovations.

Biohub will be at booth #301 in the exhibit hall. Our team will present at various panels, demos and poster sessions.

Biohub will be at booth #833 in the exhibit hall. Our team will present at various panels, demos and poster sessions.