Scientific Business Analyst (In Silico Process Mapping)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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