Cellular Intelligence
TechBio
Senior/PrincipalScientist,ComputationalBiology
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior/Principal Scientist, Computational Biology at Cellular Intelligence. Skills: Computational Biology, Transcriptomics, Machine Learning, Python. Discover novel biological insight. Ground AI and machine learning efforts”
What You'll Achieve.
understand, predict, and ultimately control cellular behavior; enable rational protocol design; context-specific drug effect prediction; systematic disease modeling
Industry & Context.
statistical grounding; probabilistic modeling; reason about where they fail; careful interpretation; attentiveness to methodological details
What They're Looking For.
Must Have
PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, 3+ years of experience analyzing large-scale genomic and transcriptomic datasets, Deep quantitative grounding, Deep fluency in the modern Python single-cell stack (scanpy, anndata, and adjacent tooling), A scientist’s instincts and rigor
Nice to Have
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, Prior experience in a startup or fast-paced environment, publication record in top journals
What You'll Do.
Discover novel biological insight
Ground AI and machine learning efforts
Drive scientific interpretation of data
Work side-by-side with ML team
Develop statistically grounded methods
Contribute to state of the art
detail-oriented analysis
Maintain depth across modern methods
Choose or adapt and develop approach
Shape computational biology roadmap
Contribute technical guidance
Knowledge-sharing across team
How You'll Work.
Team & Collaboration
Work side-by-side with our ML team; collaborating closely with other comp bio, ML, and engineering colleagues
Full Job Description
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 http://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. Responsibiliti
Applying for this Senior/Principal Scientist, Computational Biology role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Cellular Intelligence?
Real rants from real employees. Read before you apply.