Cellular Intelligence

Senior/Principal Scientist, Computational Biology

Boston · Principal · Full-time

Sponsorship not specifiedDetected 60 days ago

PythonSwiftFull-Stack DevelopmentMachine LearningStatisticsBioinformaticsResearchLeadership

About the role

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.

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).
Develop statistically grounded methods for our novel assays and data, and contribute to the state of the art in AI-first computational biology.
Maintain depth across the modern methods landscape and choose or adapt and develop the right approach for each question.
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.
We support one another - collaborative, helpful, empathetic

3+ years of experience analyzing large-scale genomic and transcriptomic datasets, such as single-cell RNA-seq and spatial omics.
PhD in Computational Biology, Bioinformatics, Computer Science, or a related field.
Deep quantitative grounding - comfort with the statistics and probabilistic modeling underlying modern single-cell methods, and the judgment to reason about where they fail.
Deep fluency in the modern Python single-cell stack (scanpy, anndata, and adjacent tooling), comfortable customizing and extending it as the analysis demands.
A scientist's instincts and rigor - curiosity about the biology, careful interpretation, and attentiveness to the methodological details that determine whether a finding holds.
Passion for data-driven biology and its potential to transform healthcare. for data-driven biology and its potential to transform healthcare
Preferred Qualifications:

Strong domain knowledge in developmental biology or stem cell research (highly advantageous).
Experience interpreting and modeling data from non-standard or novel assays.
Experience collaborating closely with ML teams - defining tasks, labels, and evaluation frameworks for biological models.
Prior experience in a startup or fast-paced environment.
Strong publication record in top journals.

Enjoy a competitive salary and benefits package, including flexible work options

Contribute to the development of groundbreaking therapies that address significant unmet medical needs
Enjoy a competitive salary and benefits package, including flexible work options
Join us and help unlock the full potential of AI for the benefit of human health!

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This listing is sourced directly from Cellular Intelligence's careers page and normalized into a canonical job model.