About the role
About Cellular Intelligence Cellular Intelligence (CI) is an AI-native TechBio and clinical stage BioTech company building a universal foundation model of cell signaling to understand, predict, and ultimately control cellular behavior, transforming biology from trial-and-error into an engineering discipline. We take a full-stack approach, generating perturbation data at over 1,000x the efficiency of conventional methods, capturing millions of time-resolved treatment combinations per experiment, and training large-scale models that generalize across contexts to enable rational protocol design for regenerative medicine, context-specific drug effect prediction, and systematic disease modeling. Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone ( Chorus.ai , acquired for $575M), the Head of the Fundamental AI Group at MIT, and four professors from Harvard Medical School and the University of Washington, including the Chair of Genetics at Harvard, collectively holding five National Academy memberships. Based in Boston, CI has raised over $60M to date from Khosla Ventures, CZI, SciFi VC, and AMD Ventures, and is rapidly scaling its world-class team. Cellular Intelligence's Core Values: We show up – fully accountable, all-in, doing whatever it takes We act with urgency – swift, decisive, proactive We support one another – collaborative, helpful, empathetic Location: Boston, MA (onsite, full-time)
About
the Role: As a Senior Computational Biologist, your core job is to discover novel biological insight from rich biological data across transcriptomic datasets, including data from our own novel microfluidic-based assays and therapeutic programs, and to ground our AI and machine learning efforts in deep expertise in transcriptomics and biology. This role is for scientists who are genuinely excited about core research in developmental biology, stem cell biology, and AI, and who want to sit at the center of those questions.
Responsibilities: Drive scientific interpretation of data from our novel microfluidic assays and therapeutic programs — single-cell transcriptomics, multi-modal readouts, and assay-specific signals (e.g. lineage inference, perturbation response,cell type and state annotation). Work side-by-side with our ML team to ground foundation and predictive models in real biology — defining the right tasks, the right labels, and the right evaluations. Develop statistically grounded methods for our novel assays and data, and contribute to the state of the art in AI-first computational biology. Bring careful, detail-oriented analysis to the data — interrogating what it shows and how the assays, methods, and processing choices shape what we see. Maintain depth across the modern methods landscape and choose or adapt and develop the right approach for each question. Operate autonomously in a fast-moving startup, helping shape Cellular Intelligence’s computational biology roadmap. Contribute technical guidance and knowledge-sharing across
