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GS
GSK
11d ago

Principal Scientist - Spatial Multiomics(m/w/x)

Heidelberg
Full-timeOn-siteSenior
AI/ML
Data Science

Description

By bridging the gap between AI and tissue biology, you will lead the design of advanced ML pipelines that transform complex spatial data into actionable insights for drug discovery and disease phenotyping.

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Requirements

  • PhD in relevant field or comparable qualification
  • Excellent Python programming skills
  • Experience with spatial omics data processing
  • Track record in disease phenotyping
  • Expertise in applied machine learning workflows
  • Strong analytical and problem-solving skills
  • Familiarity with coding best practices
  • Excellent communication and collaboration skills

Education

Doctoral / PhD

Work Experience

approx. 4 - 6 years

Tasks

  • Lead the development of advanced ML pipelines
  • Convert raw histology images into quantitative insights
  • Design computational workflows for multi-modal spatial data
  • Ensure data quality and scalability for high-throughput screening
  • Apply generative AI for tissue microenvironment characterization
  • Model cell-cell interactions and disease phenotypes
  • Produce quantitative evidence for target prioritization
  • Collaborate with biology and clinical teams
  • Translate computational results into actionable datasets
  • Monitor and adopt new spatial multi-omics technologies
  • Integrate spatial-omics insights into discovery workflows
  • Communicate complex findings to internal and external stakeholders
  • Present research through publications and conference talks

Tools & Technologies

PythonPyTorchPyTorch-GeometricGitHubGitLab

Languages

EnglishBusiness Fluent

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