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6 дней назад

Computational Biologist

75 000 - 91 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
Computational Biologist (Genomics/Python/R): Building data processing pipelines and analyzing high-throughput biological and genomic data for cancer research with an accent on computational biology, statistical analysis, and biological database integration. Focus on preparing manuscript figures and results, developing data analysis plans for grants, and coordinating multiple interdisciplinary research projects.

Location: Boston, Massachusetts, United States; hybrid work with 2–3 days onsite per week

Salary: $75,000–$91,500 per year

Company

Research and patient-care organization focused on cancer research, treatment advances, education, and public health.

What you will do

  • Build data processing pipelines that convert raw high-throughput biological data into formats suitable for statistical analysis and visualization.
  • Perform routine analyses of genomic and other biological data using established computational tools.
  • Manage data from public repositories and research collaborators, evaluate published tools, and update pipelines.
  • Prepare computational biology sections of manuscripts, verify numerical accuracy, and create tables and figures.
  • Support grant preparation by helping define research aims, experimental designs, and data analysis plans.
  • Coordinate timelines across multiple interdisciplinary research projects and provide peer-to-peer training.

Requirements

  • Bachelor’s degree in a STEM field; a master’s degree in bioinformatics, computational biology, statistics, biostatistics, computer science, or life sciences is preferred.
  • At least one year of experience with a bachelor’s degree, or no experience with a master’s degree; academic research or scientific authorship may substitute for work experience.
  • Knowledge of UNIX/Linux and familiarity with Python scripting and statistical programming in R.
  • Familiarity with experimental design and modern data analysis methods.
  • Strong written and verbal communication, interpersonal, analytical, organizational, and time-management skills.

Culture & Benefits

  • Hybrid work arrangement with regular onsite presence in Boston.
  • Inclusive and equitable environment focused on compassionate patient care and scientific progress.
  • Opportunities to collaborate with investigators, research staff, and interdisciplinary partners.
  • Work supporting cancer research, treatment advancement, education, and public health.

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