Senior Computational Biologist — Perturb-seq & Genomics

Codebreaker Labs

Boulder (CO)

On-site

USD 120,000 - 190,000

Full time

7 days ago
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Job summary

Codebreaker Labs in Colorado is seeking a Senior Scientist to lead computational analysis of perturbation experiments that link human genetic variation to cellular function. You will design and run Perturb-seq and related scRNA-seq analyses, building scalable pipelines and collaborating with wet-lab and ML teams.

The role combines biology, statistics, and software, with ownership of data interpretation, experimental design, and contributing to predictive models.

Qualifications

  • PhD in computational biology, genomics, bioinformatics, systems biology, statistical genetics, biostatistics or a related quantitative field.

Responsibilities

  • Analyze Codebreaker's variant Perturb-seq and related single-cell functional genomics experiments, from primary data through perturbation-effect estimation and biological interpretation.
  • Build scalable pipelines for QC, guide assignment, differential expression, perturbation-effect estimation, visualization, and model-ready datasets.
  • Apply statistical approaches for perturbational single-cell data accounting for experimental design, replication, donor and batch effects, and cell-state heterogeneity.
  • Work with datasets to separate biological signal from technical artifacts and generate hypotheses.
  • Lead design of Perturb-seq experiments and disease- and cell-type-specific assays with experimental scientists and ML colleagues.
  • Integrate single-cell data with human genetics and sequence-based predictions to interpret perturbation effects.
  • Write reproducible, tested analysis code for growing experimental scale.

Skills

Python
R
Statistical thinking
Communication

Education

PhD in computational biology or related

Tools

Perturb-seq
CRISPR screens
scRNA-seq

Job description

Codebreaker Labs in Colorado is seeking a Senior Scientist to lead computational analysis of perturbation experiments that link human genetic variation to cellular function. You will design and run Perturb-seq and related scRNA-seq analyses, building scalable pipelines and collaborating with wet-lab and ML teams.

The role combines biology, statistics, and software, with ownership of data interpretation, experimental design, and contributing to predictive models.

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