Senior/Principal Scientist, Computational Biology

About the Company

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. Based in Boston, CI has raised over $60M to date from Khosla Ventures, CZI, SciFi VC, and AMD Ventures.

Responsibilities

• Drive scientific interpretation of data from novel microfluidic assays and therapeutic programs, including single-cell transcriptomics and multi-modal readouts
• Work with the ML team to ground foundation and predictive models in real biology by defining tasks, labels, and evaluations
• Develop statistically grounded methods for novel assays and contribute to AI-first computational biology
• Perform detailed analysis to interrogate how assays, methods, and processing choices shape data
• Maintain depth across modern methods landscape and adapt approaches to specific questions
• Operate autonomously to help shape the computational biology roadmap
• Provide technical guidance and collaborate with ML and engineering colleagues

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field
• 3+ years of experience analyzing large-scale genomic and transcriptomic datasets (e.g., single-cell RNA-seq, spatial omics)
• Deep quantitative grounding in statistics and probabilistic modeling
• Deep fluency in the modern Python single-cell stack (scanpy, anndata)
• Strong scientific rigor and curiosity regarding biological interpretation

Preferred Qualifications

• Strong domain knowledge in developmental biology or stem cell research
• Experience interpreting and modeling data from non-standard or novel assays
• Experience collaborating closely with ML teams on biological model frameworks
• Prior experience in a startup or fast-paced environment
• Strong publication record in top journals