Senior Bioinformatics Scientist - Single-Cell & Spatial

Cellular Intelligence; Boston; On-site; PHP 9,253,546 - 12,954,965; Full time

Job summary

Cellular Intelligence in Boston, MA seeks a Senior Bioinformatics Scientist to own and develop methods powering our capsule platform and Universal Virtual Cell-Signaling Model. You will work across single-cell, spatial, and bulk RNA-seq, building reproducible pipelines and new analyses while collaborating with wet-lab, software, and ML teams.

This hands-on role requires crafting scalable workflows, benchmarking methods, and guiding cross-disciplinary projects to advance our cell-replacement

Qualifications

• PhD in bioinformatics, genomics, computational biology, CS, or related field.
• 3+ years building reproducible pipelines for single-cell/spatial data.
• Hands-on experience with single-cell transcriptomics analysis.
• Strong Python and/or R programming skills.
• Experience with Nextflow/Snakemake, containers, and version control.

Responsibilities

• Develop new bioinformatics methods for single-cell, spatial, and bulk data.
• Build reproducible pipelines from QC to analysis.
• Analyze large-scale single-cell and spatial data and visualize spatial data.
• Collaborate with wet-lab and ML teams to design experiments.
• Mentor teams and perform code and method reviews.
• Provide guidance across bioinformatics, ML, and engineering groups.

Skills

Python

R

Nextflow

Snakemake

Docker

Version control

LLMs in bioinformatics

Data visualization

Education

PhD in relevant field

Equivalent industry experience

Tools

Git

Docker

Kubernetes

Job description

Cellular Intelligence in Boston, MA seeks a Senior Bioinformatics Scientist to own and develop methods powering our capsule platform and Universal Virtual Cell-Signaling Model. You will work across single-cell, spatial, and bulk RNA-seq, building reproducible pipelines and new analyses while collaborating with wet-lab, software, and ML teams.

This hands-on role requires crafting scalable workflows, benchmarking methods, and guiding cross-disciplinary projects to advance our cell-replacement