Die KI-Suchmaschine für Jobs
Principal Scientist - Spatial Multiomics(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
- GSKVollzeitnur vor OrtBerufserfahrenHeidelberg
- Octapharma Biopharmaceuticals GmbH
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Bioinformatiker / Informatiker in Tumorimmunologie(m/w/x)
VollzeitBefristeter Vertragnur vor OrtBerufserfahrenMannheim, Heidelberg - Octapharma Biopharmaceuticals GmbH
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Jobs in der Nähe entdecken
Principal Scientist - Spatial Multiomics(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Über das Unternehmen
GSK
Branche
Pharmaceuticals
Beschreibung
GSK is a global biopharma company focused on preventing and treating diseases through innovation in specialty medicines and vaccines.
- GSK
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