Computational Scientist II - Single Cell Genomics

Job Duration: Long Term Contract (Possibility Of Extension)

This role is focused on advancing therapeutic discovery through high -content perturbation screening and single -cell genomics. This role will involve analyzing large -scale sequencing datasets, developing computational pipelines, and collaborating with multidisciplinary teams to generate biological insights that support drug discovery.

• Analyze and interpret large -scale single -cell sequencing datasets (scRNA -seq) generated from high -content perturbation experiments.
  
• Develop and optimize computational workflows for Perturb -seq, CROP -seq, Sci -Plex, and other sequencing -based functional genomics studies.
  
• Apply statistical and computational methods to identify biological mechanisms, therapeutic targets, and treatment responses.
  
• Collaborate with biologists, chemists, computational scientists, and cross -functional research teams to translate complex data into actionable insights.
  
• Develop reproducible data analysis pipelines using Python and bioinformatics tools.
  
• Perform quality control, data integration, visualization, and statistical analysis of large -scale genomics datasets.
  
• Integrate multimodal datasets, including single -cell, genomic, and clinical data, to support research and therapeutic development.
  
• Present findings through scientific reports, presentations, and collaborations with internal research teams.
  
• Maintain well -documented, reproducible computational workflows and contribute to continuous process improvements.
  

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics, or a related quantitative life science discipline.
  
• Proven experience analyzing large -scale single -cell RNA sequencing (scRNA -seq) datasets.
  
• Strong programming skills in Python for scientific computing and data analysis.
  
• Solid background in statistics, probabilistic modeling, and computational data analysis.
  
• Experience working with next -generation sequencing (NGS) and genomics datasets.
  
• Excellent analytical, communication, and problem -solving skills.
  
• Demonstrated ability to collaborate effectively in multidisciplinary research environments.
  
• Strong publication record demonstrating scientific contributions.
  

• Experience with Perturb -seq, CROP -seq, Sci -Plex, or other CRISPR -based perturbation screening technologies.
  
• Experience with CRISPR functional genomics and single -cell perturbation analysis.
  
• Knowledge of multimodal data integration, including genomic, transcriptomic, and clinical datasets.
  
• Experience using workflow management systems such as Nextflow or Snakemake.
  
• Experience working on High Performance Computing (HPC) environments using SLURM.
  
• Familiarity with cloud computing, reproducible workflows, and collaborative software development practices.
  

If interested, please send us your updated resume at

[email protected]/[email protected]