9 часов назад
Senior Scientist, Computational Biology (AI)
136 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Scientist, Computational Biology (AI): Building scalable computational workflows for large-scale Perturb-seq and single-cell perturbation screens with an accent on data integration, production-grade bioinformatics pipelines, and multimodal analysis. Focus on integrating Perturb-seq with CITE-seq, ATAC-seq, and spatial transcriptomics, partnering with AI/ML scientists, and translating biological data into therapeutic insights.
Location: On-site in South San Francisco, California, United States
Base salary: $136,000–$170,000 annually, plus bonus and equity.
Company
is a biotech startup using generative AI and foundation models for biology and disease to support drug discovery, therapeutic design, target elucidation, and patient stratification.
What you will do
- Own end-to-end computational analysis of Perturb-seq datasets, from quality control through biological interpretation and therapeutic insights.
- Design standardized frameworks for integrating perturbation data across cell types, library designs, sequencing platforms, and experimental contexts.
- Build and maintain scalable, reproducible, modular, production-grade bioinformatics pipelines for large perturbation screens.
- Integrate Perturb-seq with CITE-seq, ATAC-seq, spatial transcriptomics, and external reference datasets for multimodal analysis.
- Partner with wet-lab and AI/ML scientists to optimize workflows and deliver modeling-ready data products.
- Maintain documented code repositories and computational environments, contribute to scientific strategy, publications, and patents, and mentor researchers.
Requirements
- Ph.D. in Computational Biology, Bioinformatics, Genomics, or a related quantitative field, with 5+ years of relevant industry or applied research experience.
- Deep expertise in single-cell RNA sequencing and substantial hands-on experience with Perturb-seq or CRISPR-based perturbation screens.
- Experience integrating heterogeneous datasets using batch correction, normalization, and quality control strategies.
- Experience building production bioinformatics workflows with Nextflow, Docker, and AWS.
- Proficiency in Python, including numpy, pandas, scanpy, and scikit-learn, plus Unix, Git, and GitHub experience.
- Working knowledge of statistics and machine learning for biological data, with strong scientific communication and cross-functional leadership skills.
Culture & Benefits
- Open, flexible, and collaborative work environment focused on scientific innovation.
- Competitive compensation and benefits package.
- Base salary supplemented by bonus and equity.
- Opportunities to develop long-term scientific and technical expertise.
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