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14 часов назад

Data Scientist

Формат работы
remote (только Europe/cis)
Тип работы
fulltime
Грейд
junior/middle
Английский
b2
Страна
UK, Armenia, EU, Kazakhstan, Georgia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Data Scientist: Developing and optimizing in vitro study design frameworks through Benchling, ensuring data consistency and alignment with internal standards. Focus on creating harmonized data storage solutions, collaborating with scientific stakeholders, and supporting data capture and standardization.

Location: Remote or office work, restricted to UK, EU, Armenia, Kazakhstan, or Georgia

Company

hirify.global is a company involved in the biotech/pharma industry, focusing on data solutions and study design.

What you will do

  • Develop and optimize in vitro study design frameworks through Benchling, including assay templates, sample-tracking structures, and standardized data schemas.
  • Create and maintain harmonized data storage solutions to ensure consistency across assay types and alignment with internal data standards.
  • Collaborate closely with biologists, computational scientists, and data stakeholders to ensure high-quality, analysis-ready datasets.
  • Support in vivo study data capture, ingestion, and standardization across the broader data ecosystem as needed.
  • Communicate project progress, challenges, and deliverables proactively with the manager and key stakeholders.

Requirements

  • MS or BS in Biology, Computational Biology, Data Science, or a related field.
  • 0-3 years of post-graduate working experience in the biotech/pharma industry.
  • Familiarity with biological assay data (cell-based assays, plate-based readouts, etc.).
  • Hands-on experience with Benchling, including workflow design, build or assay configuration.
  • Experience with LIMS.
  • Strong experience developing data pipelines using R or Python.
  • English level B2+ or higher.

Culture & Benefits

  • Competitive compensation.
  • Remote or office work flexibility.
  • Flexible working hours.
  • Healthcare benefits: medical insurance and paid sick leave.
  • Continuous education, mentoring, and professional development programs.
  • A team with excellent tech expertise.
  • Certifications paid by the company.

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