{"id":2367469,"url":"https://alion.io/job/dawar-consulting-computational-scientist-ii-single-cell-genomics","title":"Computational Scientist II - Single Cell Genomics","company":{"id":3853998,"name":"Dawar Consulting","domain":"dawarconsulting.com","url":"https://alion.io/company/dawar-consulting","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["South San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":65,"max":null,"currency":"USD","period":"hour","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"HPC","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-10-12T16:52:16Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-19T13:12:20Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Our Client, a world leader in Biotechnology is looking for a \"Computational Scientist II \" for SSF, CA\nJob Duration: Long Term Contract (Possibility Of Extension)\nPay Rate: $65/hr on W2\nCompany Benefits: Medical, Dental, Vision, Paid Sick leave, 401K\nThis 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.\nKey Responsibilities\nAnalyze and interpret large-scale single-cell sequencing datasets (scRNA-seq) generated from high-content perturbation experiments.\nDevelop and optimize computational workflows forPerturb-seq, CROP-seq, Sci-Plex, and other sequencing-based functional genomics studies.\nApply statistical and computational methods to identify biological mechanisms, therapeutic targets, and treatment responses.\nCollaborate with biologists, chemists, computational scientists, and cross-functional research teams to translate complex data into actionable insights.\nDevelop reproducible data analysis pipelines usingPython and bioinformatics tools.\nPerform quality control, data integration, visualization, and statistical analysis of large-scale genomics datasets.\nIntegrate multimodal datasets, including single-cell, genomic, and clinical data, to support research and therapeutic development.\nPresent findings through scientific reports, presentations, and collaborations with internal research teams.\nMaintain well-documented, reproducible computational workflows and contribute to continuous process improvements.\nRequired Qualifications\nPh.D. inComputational Biology, Bioinformatics, Computer Science, Statistics, Mathematics, or a related quantitative life science discipline.\nProven experience analyzing large-scale single-cell RNA sequencing (scRNA-seq) datasets.\nStrong programming skills in Python for scientific computing and data analysis.\nSolid background in statistics, probabilistic modeling, and computational data analysis.\nExperience working with next-generation sequencing (NGS) and genomics datasets.\nExcellent analytical, communication, and problem-solving skills.\nDemonstrated ability to collaborate effectively in multidisciplinary research environments.\nStrong publication record demonstrating scientific contributions.\nPreferred Qualifications\nExperience withPerturb-seq, CROP-seq, Sci-Plex, or other CRISPR-based perturbation screening technologies.\nExperience withCRISPR functional genomics and single-cell perturbation analysis.\nKnowledge of multimodal data integration, including genomic, transcriptomic, and clinical datasets.\nExperience using workflow management systems such asNextflow orSnakemake.\nExperience working on High Performance Computing (HPC) environments usingSLURM.\nFamiliarity with cloud computing, reproducible workflows, and collaborative software development practices.\nIf interested, please send us your updated resume at\n / 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