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3 дня назад

Scientific Business Analyst (In Silico Process Mapping)

Формат работы
remote
Тип работы
fulltime
Грейд
middle
Английский
b2
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

Scientific Business Analyst (In Silico Process Mapping): Facilitate workshops and map As-Is/To-Be scientific workflows across human genetics, GWAS, rare-disease genetics, bioinformatics pipelines, multi-omics, and evidence integration with an accent on translating research workflows into business, functional, and data requirements. Focus on defining data flows, system integrations, cross-workflow dependencies, and supporting capability assessments, platform evaluations, and operating model design.

Company

hirify.global is an international team working across scientific and technical domains.

What you will do

  • Facilitate workshops with scientific and technical stakeholders.
  • Analyse and document As-Is and To-Be workflows across human genetics, GWAS, rare-disease genetics, bioinformatics pipelines, multi-omics, target prioritisation, translational biology, AI/ML research, and evidence integration.
  • Gather and structure business, functional, and data requirements for technical teams.
  • Define data flows, system integrations, and cross-workflow dependencies.
  • Support capability assessments, platform evaluations, and operating model design.

Requirements

  • 5+ years of business analysis experience in life sciences, biotech, or computational research.
  • Scientific background in life sciences, computational biology, bioinformatics, genetics, or a related discipline.
  • Experience mapping scientific workflows and translating them into requirements for technical teams.
  • Experience working with research data platforms, data integration, and scientific workflows.
  • Strong stakeholder management, workshop facilitation, and communication skills.
  • Excellent English.

Nice to have

  • Experience with platforms such as Databricks, Genestack, PlutoBio, or similar.
  • Exposure to AI/ML, research data platforms, metadata governance, or FAIR principles.

Culture & Benefits

  • Remote or office work.
  • Flexible working hours.
  • Team with strong technical expertise.
  • International team with colleagues working from different locations.

Hiring process

  • Interviews focused on business analysis experience, scientific workflow mapping, and stakeholder communication.
  • Discussion of requirements translation, data flows/integrations, and relevant platform exposure.

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