Cellular Intelligence
Senior Bioinformatics Scientist
Boston · Senior
Sponsorship not specifiedDetected 6 days ago
PythonSwiftRFull-Stack DevelopmentMachine LearningData AnalysisLLMsBioinformaticsMolecular BiologyLab ResearchMentoring
About the role
- We seek a Senior Bioinformatics Scientist to own and develop the methods and pipelines that power our proprietary capsule platform and feed our Universal Virtual Cell-Signaling Model.
- You'll collaborate closely with wet lab scientists, software engineers, and machine learning researchers to advance novel sequencing protocols and our therapeutic programs.
- This is a hands-on role spanning single-cell and spatial omics, ideal for someone who thrives in a fast-paced, interdisciplinary environment and wants to help build our cell-replacement therapy platform from the ground up.
Responsibilities
- Develop new bioinformatics methods for single-cell, spatial, and bulk transcriptomics data, and adapt and benchmark existing ones.
- Build and maintain reproducible analysis pipelines for single-cell, spatial, and bulk RNA-seq, from QC and normalization through the downstream analysis appropriate to each modality (integration, clustering, annotation, differential expression).
- Partner with wet-lab scientists to bring novel multi-omic assays online, developing the analysis methods and pipelines that new experimental modalities require.
- Collaborate with wet-lab and computational scientists to design experiments and interpret results.
- We support one another - collaborative, helpful, empathetic.
- Working across single-cell, spatial, and bulk RNA-seq, you'll build reproducible pipelines, develop new bioinformatics methods, and apply them to our data.
Requirements
- 3+ years of experience developing, adapting, and benchmarking bioinformatics methods and building reproducible pipelines for large-scale single-cell and/or spatial transcriptomic data.
- Hands-on experience with single-cell transcriptomics analysis.
- Experience applying state-of-the-art large language models (LLMs) to bioinformatics projects.
- Experience with spatial transcriptomics data analysis and visualization.
- Experience applying and improving automated cell type annotation methods (e.g. marker-based and reference-based methods).
- Experience working at the interface of technology development and data analysis, particularly involving novel molecular biology or sequencing techniques.
- Experience mentoring scientists or reviewing scientific code.
- Prior experience in a startup or fast-paced, interdisciplinary environment.
- PhD in Bioinformatics, Genomics, Computational Biology, Computer Science, or a related field. Equivalent industry experience is also welcome.
- Strong Python and/or R programming skills.
- Experience building reproducible workflows with a pipeline manager (e.g. Nextflow or Snakemake), containers, and version control.
- Excellent organizational and documentation habits.
- Prefered Qualifications:
- Strong domain knowledge in developmental biology or stem cell research.
Apply directly at Cellular Intelligence →Create a free account for alerts like thisView Cellular Intelligence immigration profile
This listing is sourced directly from Cellular Intelligence's careers page and normalized into a canonical job model.