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Computational Associate II (Bioinformatics)

58 000 - 80 667$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Computational Associate II (Bioinformatics): Analyzing multi-omic datasets to study mechanisms driving health and disease with an accent on single-cell and spatial transcriptomics. Focus on developing novel bioinformatics pipelines and applying ML/deep learning methods to turn complex data into biological insights.

Location: On-Site in Cambridge, MA

Salary: $58,000–$80,667 per year

Company

A leading biomedical research institute focused on genomic and multi-omic studies to understand human health and disease.

What you will do

  • Analyze diverse datasets including single-cell RNA-Seq, ATAC-Seq, and spatial transcriptomics.
  • Develop and maintain scalable bioinformatics pipelines.
  • Collaborate with experimental biologists and PIs to plan project requirements and timelines.
  • Write maintainable and performant code for complex biological analyses.
  • Present research findings in group meetings and lead projects for first-author publications.

Requirements

  • BS degree with 2+ years of experience and a publication record, or an M.S. in Bioinformatics, Computer Science, or a related field.
  • Proficiency in Python or R.
  • Knowledge of machine learning and deep learning methods.
  • Experience analyzing biological data, specifically single-cell or spatial transcriptomics.
  • Must be based in or able to work on-site in Cambridge, MA.

Culture & Benefits

  • Comprehensive health package including medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan and flexible spending/health savings accounts (FSA/HSA).
  • Generous paid time off, including at least 13 paid holidays and a winter closure.
  • Parental and family care leave.
  • Collaborative research environment with opportunities to publish and present work at MGH, MIT, and Harvard.

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