Computational Scientist II - Single Cell Genomics

Our Client, a world leader in Biotechnology is looking for a  Computational Scientist II  for SSF, CA

Job Duration:
Long Term Contract (Possibility Of Extension)

Pay Rate: $65/hr on W2

• Medical
• Dental
• Vision
• Paid Sick leave
• 401K

• 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.