Senior Data Analyst — AI-Driven Life Sciences Discovery

ZS

Kongens Lyngby

Hybrid

DKK 900,000 - 1,300,000

Full time

28 hours ago
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Benefits offered by this job

Hybrid work model
Global collaboration
Professional development

Job summary

ZS in Denmark is seeking scientists with bioinformatics and AI/ML expertise to work on data-driven solutions for pharma and biotech clients. You will engage in multi-modal data integration, AI-driven discovery, and bioinformatics pipelines, collaborating across a global team.

The Copenhagen team focuses on hybrid work, combining lab-like scientific depth with analytics, strategy, and client-facing activities. Travel is required for client engagements as needed.

Qualifications

  • Master's or PhD in bioinformatics, computational biology, AI/ML, systems biology, chemoinformatics or similar.
  • 2+ years consulting experience in Life Sciences/Bioinformatics.
  • Strong communication and problem-solving skills.

Responsibilities

  • Multi-modal data integration across omics, imaging, assay and clinical data.
  • AI-driven discovery workflows and agentic systems.
  • Knowledge graphs and data foundation design (ontologies, semantic search, GraphRAG).
  • Bioinformatics pipeline engineering (Nextflow, cloud-native, reproducible workflows).
  • Translational science and biomarker development, linking discovery data to clinical decisions.
  • Own discrete workstreams end-to-end and design components like RAG pipelines.

Skills

Python
R
SQL
Nextflow
WDL
Consulting mindset
Client-focused
Ambiguity tolerance
Fluent English

Education

Master's or PhD in bioinformatics or related

Tools

Nextflow
Graph analysis

Job description

ZS in Denmark is seeking scientists with bioinformatics and AI/ML expertise to work on data-driven solutions for pharma and biotech clients. You will engage in multi-modal data integration, AI-driven discovery, and bioinformatics pipelines, collaborating across a global team.

The Copenhagen team focuses on hybrid work, combining lab-like scientific depth with analytics, strategy, and client-facing activities. Travel is required for client engagements as needed.

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