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2 дня назад

Senior Scientist, Computational Biology

147 000 - 191 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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 (Biotech/Computational Biology): Defining computational biology strategy and developing reproducible analyses for transcriptomic, genomic, and other high-dimensional datasets across drug discovery, with an accent on single-cell and single-nucleus RNA-seq, workflow development, and cross-functional collaboration. Focus on designing tailored analytical approaches, building AI-assisted workflows, validating scientific results, and supporting target validation through IND-enabling studies.

Location: South San Francisco, United States

Salary: $147,000–$191,000 per year

Company

hirify.global develops therapeutics and advances an early-stage drug discovery portfolio for patients.

What you will do

  • Define the direction of computational biology efforts across Discovery and adapt analytical strategy as project needs evolve.
  • Design, analyze, and interpret in vitro and in vivo experiments with cross-functional scientific teams.
  • Perform rigorous, reproducible analyses of bulk and single-cell or single-nucleus transcriptomics, genomic, and other high-dimensional datasets.
  • Develop and extend computational tools, workflows, and AI-assisted analysis approaches while evaluating outputs for scientific accuracy.
  • Manage external analysis partners and apply best practices for code management, data management, workflow orchestration, and version control.
  • Communicate findings to cross-functional teams and contribute to regulatory filings, patents, and publications.

Requirements

  • PhD in Computational Biology, Epidemiology, Neuroscience, Statistics, or a related field, plus 3+ years of relevant industry experience.
  • Proven experience analyzing single-cell or single-nucleus RNA-seq data and applying relevant statistical methods.
  • Experience with tools such as Cell Ranger, CellBender, Seurat, or scanpy.
  • Extensive experience using R or Python for high-dimensional biological data analysis.
  • Knowledge of Git and tools for generating analysis reports, such as R Markdown or Quarto.
  • Track record of impactful research, peer-reviewed publications, and strong analytical and communication skills.

Nice to have

  • Experience with proteomics, mass spectrometry, or human genetics.
  • Experience building dashboards with Shiny.

Culture & Benefits

  • Cross-functional collaboration across Discovery and the broader portfolio.
  • 401(k), healthcare coverage, and employee stock purchase plan.
  • Diverse and inclusive work environment.

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