Computational Scientist II - 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.

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 interpretlarge-scale single-cell sequencing datasets(scRNA-seq) generated from high-content perturbation experiments.
• Develop and optimize computational workflows forPerturb-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 usingPythonand 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. inComputational Biology, Bioinformatics, Computer Science, Statistics, Mathematics, or a related quantitative life science discipline.
• Proven experience analyzinglarge-scale single-cell RNA sequencing (scRNA-seq)datasets.
• Strong programming skills inPythonfor 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 withPerturb-seq, CROP-seq, Sci-Plex, or other CRISPR-based perturbation screening technologies.
• Experience withCRISPR functional genomicsand single-cell perturbation analysis.
• Knowledge of multimodal data integration, including genomic, transcriptomic, and clinical datasets.
• Experience using workflow management systems such asNextfloworSnakemake.
• Experience working onHigh Performance Computing (HPC)environments usingSLURM.
• 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