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Principal Scientist - Spatial Multiomics(m/w/x)
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
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
Languages
English – Business Fluent
- GSKFull-timeOn-siteExperiencedHeidelberg
- AbbVie
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Principal Scientist - Spatial Multiomics(m/w/x)
The AI Job Search Engine
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
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
Languages
English – Business Fluent
About the Company
GSK
Industry
Pharmaceuticals
Description
GSK is a global biopharma company focused on preventing and treating diseases through innovation in specialty medicines and vaccines.
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