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9 часов назад

Senior Scientist, Computational Biology (AI)

136 000 - 170 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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