Senior Bioinformatics Scientist

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). Analyze large-scale single-cell and spatial transcriptomics data, from raw output through to biological interpretation, including visualization of spatial data. 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. Provide technical guidance and mentorship across the bioinformatics, ML, and engineering teams, including code and method reviews.

Qualifications: PhD in Bioinformatics, Genomics, Computational Biology, Computer Science, or a related field. Equivalent industry experience is also welcome. 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. Strong Python and/or R programming skills. Experience building reproducible workflows with a pipeline manager (e.g. Nextflow or Snakemake), containers, and version control. Experience applying state-of-the-art large language models (LLMs) to bioinformatics projects. Excellent organizational and documentation habits. Prefered

Qualifications: 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. Strong domain knowledge in developmental biology or stem cell research. Experience mentoring scientists or reviewing scientific code. Prior experience in a startup or fast-paced, interdisciplinary environment. Cellular Intelligence is committed to creating a diverse and inclusive workplace. We welcome and encourage applicants from all backgrounds, regardless of race, ethnicity, gender, sexual orientation, religion, disability, or age. We embrace differences and believe that a diverse workforce enhances our creativity, innovation, and overall success.

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