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22 часа назад

Scientist, Computational Biology (Oncology)

142 000 - 171 150$
Формат работы
onsite
Тип работы
fulltime
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
Scientist, Computational Biology (Oncology): Analyzing high-dimensional transcriptomic, genomic, and other biological datasets to advance early drug discovery programs with an accent on bulk and single-cell data, reproducible analysis, and computational workflow development. Focus on designing and interpreting complex in vitro and in vivo studies, prioritizing oncology targets, and building scalable tools and pipelines for nuanced scientific questions.

Location: Millbrae, California, United States; on-site work is expected.

Expected salary: $142,000–$171,150 per year, plus bonus and equity compensation.

Company

hirify.global Therapeutics is a biopharmaceutical company developing treatments for life-threatening diseases through technologies combining chemistry, engineering, computation, and biology.

What you will do

  • Serve as the subject matter expert for bulk, single-cell, and single-nucleus transcriptomic data analysis.
  • Partner with discovery scientists to design, execute, and interpret in vitro and in vivo studies across the target portfolio.
  • Perform rigorous, reproducible analyses across transcriptomic, genomic, and other high-dimensional datasets.
  • Build and enhance internal computational tools, pipelines, and workflows while overseeing external analysis partners.
  • Apply version control, workflow orchestration, and sound data and code management practices.
  • Contribute to scientific publications and presentations based on complex data analysis.

Requirements

  • PhD in bioinformatics, computational biology, or a related quantitative field.
  • Hands-on experience analyzing complex biological datasets, including bulk, single-cell, or spatial transcriptomics, ChIP-seq, ATAC-seq, CRISPR screens, or high-throughput proteomics.
  • Experience in oncology target discovery and validation from hypothesis generation through target prioritization.
  • At least one first-author publication in a reputable peer-reviewed journal.
  • Experience with public datasets such as DepMap, UK Biobank, TCGA, GTEx, ENCODE, or the Human Cell Atlas.
  • Proficiency in R, Python, or a similar high-level programming language, along with experience in cloud deployment, version control, and containerization.

Nice to have

  • Internship or industry experience.

Culture & Benefits

  • Cross-functional collaboration across chemistry, engineering, computation, and biology.
  • 401(k) plan with company matching.
  • Medical, dental, and vision insurance with substantial premium coverage.
  • Mental health and wellness benefits, paid time off, holiday policies, and enhanced parental leave.
  • Weeklong summer and winter holiday shutdowns.
  • Subsidized daily lunch when working on-site.

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