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
Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K
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.
Key Responsibilities
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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
hr@dawarconsulting.com
/
kavitha@dawarconsulting.com