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Science Jobs in South San Francisco, CA

Computational Scientist II - Single Cell Genomics

Dawar Consulting

South San Francisco, California

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JOB DETAILS
SKILLS
Analysis Skills, Bioinformatics, Biology, Biotech and Pharmaceutical, Clinical Data, Cloud Computing, Collaboration Software, Communication Skills, Computational Chemistry, Computer Programming, Computer Science, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Sets, Data Visualization, Drug Discovery, Genomics, Mathematics, Next Generation Sequencing (NGS), Patient Care, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Quality Control, Software Development, Statistical Modeling, Statistics, Team Player
LOCATION
South San Francisco, California
POSTED
1 day ago
Our Client, a world leader in Biotechnology is looking for a "Computational Scientist II<\/b>" for SSF, CA<\/b>
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Job Duration: Long Term Contract (Possibility Of Extension)<\/span><\/b><\/span><\/span><\/span><\/span>
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Pay Rate: $65/hr on W2<\/span><\/b>
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Company Benefits:<\/span><\/b> <\/span>Medical, Dental, Vision, Paid Sick leave, 401K<\/span><\/span><\/span><\/span><\/span>
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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.
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Key Responsibilities<\/b><\/span>
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  • Analyze and interpret <\/span>large -scale single -cell sequencing datasets<\/b> <\/span>(scRNA -seq) generated from high -content perturbation experiments.
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  • Develop and optimize computational workflows for <\/span>Perturb -seq, CROP -seq, Sci -Plex<\/b>, and other sequencing -based functional genomics studies.
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  • Apply statistical and computational methods to identify biological mechanisms, therapeutic targets, and treatment responses.
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  • Collaborate with biologists, chemists, computational scientists, and cross -functional research teams to translate complex data into actionable insights.
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  • Develop reproducible data analysis pipelines using <\/span>Python<\/b> <\/span>and bioinformatics tools.
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  • Perform quality control, data integration, visualization, and statistical analysis of large -scale genomics datasets.
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  • Integrate multimodal datasets, including single -cell, genomic, and clinical data, to support research and therapeutic development.
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  • Present findings through scientific reports, presentations, and collaborations with internal research teams.
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  • Maintain well -documented, reproducible computational workflows and contribute to continuous process improvements.
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    Required Qualifications<\/b><\/span>
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    • Ph.D. in <\/span>Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics<\/b>, or a related quantitative life science discipline.
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    • Proven experience analyzing <\/span>large -scale single -cell RNA sequencing (scRNA -seq)<\/b> <\/span>datasets.
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    • Strong programming skills in <\/span>Python<\/b> <\/span>for scientific computing and data analysis.
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    • Solid background in statistics, probabilistic modeling, and computational data analysis.
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    • Experience working with next -generation sequencing (NGS) and genomics datasets.
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    • Excellent analytical, communication, and problem -solving skills.
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    • Demonstrated ability to collaborate effectively in multidisciplinary research environments.
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    • Strong publication record demonstrating scientific contributions.
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      Preferred Qualifications<\/b><\/span>
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      • Experience with <\/span>Perturb -seq, CROP -seq, Sci -Plex<\/b>, or other CRISPR -based perturbation screening technologies.
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      • Experience with <\/span>CRISPR functional genomics<\/b> <\/span>and single -cell perturbation analysis.
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      • Knowledge of multimodal data integration, including genomic, transcriptomic, and clinical datasets.
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      • Experience using workflow management systems such as <\/span>Nextflow<\/b> <\/span>or <\/span>Snakemake<\/b>.
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      • Experience working on <\/span>High Performance Computing (HPC)<\/b> <\/span>environments using <\/span>SLURM<\/b>.
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      • Familiarity with cloud computing, reproducible workflows, and collaborative software development practices.
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        If interested, please send us your updated resume at<\/span>
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        hr@dawarconsulting.com

        kavitha@dawarconsulting.com


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About the Company

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Dawar Consulting

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