12 дней назад
Senior Data Analyst (Bioinformatics / AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Bioinformatics / AI) (Bioinformatics, AI): Building multi-modal data integrations, bioinformatics pipelines, knowledge graphs, and AI-driven discovery workflows for pharmaceutical and biotech clients with an accent on omics, imaging, assay, clinical, and translational data. Focus on designing RAG pipelines, agentic systems, biomarker-ranking workflows, and reusable data assets that connect scientific analysis to clinical decisions.
Location: Lyngby, Denmark; hybrid work with home-based and on-site presence at clients or offices. Client-facing work may require travel as needed.
Company
is a management consulting and technology firm combining data, science, technology, and human ingenuity to develop solutions for pharmaceutical, biotech, and other life sciences clients.
What you will do
- Integrate multi-modal omics, imaging, assay, and clinical data.
- Develop AI-driven discovery workflows and agentic systems for target discovery, biomarker ranking, and patient stratification.
- Design knowledge graphs, ontologies, semantic search, GraphRAG, and data foundations.
- Engineer reproducible, cloud-native bioinformatics pipelines using tools such as Nextflow.
- Build RAG pipelines, knowledge-graph elements, agentic workflows, and data-integration solutions end to end.
- Communicate insights through client-ready deliverables, presentations, case studies, proposals, and reusable project assets.
Requirements
- Master’s degree or PhD preferred in bioinformatics, computational biology, AI/ML, systems biology, chemoinformatics, or a related field.
- At least 2 years of consulting experience in the life sciences sector, specifically in bioinformatics.
- Strong Python coding skills; experience with R, SQL, or workflow languages such as Nextflow or WDL is desirable.
- Structured problem-solving skills, clear written and verbal communication, and comfort with ambiguity.
- Ability to connect technical work with client business decisions and participate in client discussions.
- Fluency in English and work authorization for the intended country of employment are required.
Culture & Benefits
- Hybrid working model combining remote work with face-to-face collaboration at client and locations.
- Cross-functional skills development, custom learning pathways, and milestone training programs.
- Internal mobility and career progression opportunities through individual contribution and role expansion.
- Comprehensive benefits supporting health and well-being, financial security, time away, and professional development.
- Collaborative environment focused on scientific, technical, and business impact.
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