Dein persönlicher KI-Karriere-Agent
Postdoctoral Researcher - Computational & Translational Analysis of Pulmonary Nodules(m/w/x)
Integrating spatial transcriptomics, genomic, and histopathological data for pulmonary nodule analysis. Strong omics data analysis and unsupervised learning skills required. State-of-the-art infrastructure, international exchange, 30 days vacation.
Anforderungen
- PhD in computational biology, bioinformatics, systems biology, biomedical data science, cancer biology, or related field
- Strong experience in omics data analysis, including single-cell or spatial transcriptomics
- Proficiency in R and/or Python and modern data-analysis workflows
- Experience with unsupervised learning, clustering, and integrative analysis
- Ability to translate computational findings into meaningful biological and translational insights
- Strong interest in early cancer detection and biomarker discovery
- Exceptional interpersonal and communication skills
- Excellent communication skills across diverse audiences
- Empathy, active listening, and comfort engaging with non-expert stakeholders
- Ability to discuss uncertainty and non-actionable findings responsibly
- Confidence contributing to group facilitation without reliance on hierarchical authority
- Collaborative, inclusive, and respectful working style
- Highlight concrete evidence of skills (e.g. patient-facing research, public engagement, teaching, facilitation, or interdisciplinary leadership)
Aufgaben
- Lead unbiased integration of spatial transcriptomics data
- Analyze genomic alteration profiles
- Integrate histopathological diagnoses and clinical metadata
- Collaborate on radiomic feature analysis
- Perform unsupervised clustering and pattern discovery
- Interpret molecular and microenvironmental states of pulmonary nodules
- Identify biomarkers for liquid biopsy development
- Prioritize PET tracer target discovery
- Contribute to validation strategies with pathologists
- Prepare high-impact interdisciplinary publications
- Act as a scientific integrator across research groups
- Communicate with clinicians, pathologists, imaging scientists, and technologists
- Maintain reproducible and well-documented analysis workflows
- Participate in participant-driven co-design process
- Develop framework for returning molecular and imaging data
- Contribute scientific content to patient workshops
- Create plain-language communication materials
- Co-facilitate workshops with ethicists and communication experts
- Synthesize participant feedback into structured outputs
- Create return-of-data blueprint and prototype participant reports
- Evaluate framework for future implementation
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- Python
- omics data analysis
- single-cell transcriptomics
- spatial transcriptomics
- unsupervised learning
- clustering
- integrative analysis
Benefits
Modernes Büro
- State-of-the-art infrastructure
Workation & Sabbatical
- International exchange
Betriebliche Altersvorsorge
- Company pension plan
Sonstige Vorteile
- Capital-forming benefits
- DKFZ International Postdoc Program
Mehr Urlaubstage
- 30 days of vacation
Flexibles Arbeiten
- Flexible working hours
Familienfreundlichkeit
- Possibility of part-time work
- Family-friendly work environment
Öffi Tickets
- Discounted Germany job ticket
Gesundheits- & Fitnessangebote
- Company health management
Karriere- und Weiterentwicklung
- DKFZ Career Service
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Postdoctoral Researcher - Computational & Translational Analysis of Pulmonary Nodules(m/w/x)
Integrating spatial transcriptomics, genomic, and histopathological data for pulmonary nodule analysis. Strong omics data analysis and unsupervised learning skills required. State-of-the-art infrastructure, international exchange, 30 days vacation.
Anforderungen
- PhD in computational biology, bioinformatics, systems biology, biomedical data science, cancer biology, or related field
- Strong experience in omics data analysis, including single-cell or spatial transcriptomics
- Proficiency in R and/or Python and modern data-analysis workflows
- Experience with unsupervised learning, clustering, and integrative analysis
- Ability to translate computational findings into meaningful biological and translational insights
- Strong interest in early cancer detection and biomarker discovery
- Exceptional interpersonal and communication skills
- Excellent communication skills across diverse audiences
- Empathy, active listening, and comfort engaging with non-expert stakeholders
- Ability to discuss uncertainty and non-actionable findings responsibly
- Confidence contributing to group facilitation without reliance on hierarchical authority
- Collaborative, inclusive, and respectful working style
- Highlight concrete evidence of skills (e.g. patient-facing research, public engagement, teaching, facilitation, or interdisciplinary leadership)
Aufgaben
- Lead unbiased integration of spatial transcriptomics data
- Analyze genomic alteration profiles
- Integrate histopathological diagnoses and clinical metadata
- Collaborate on radiomic feature analysis
- Perform unsupervised clustering and pattern discovery
- Interpret molecular and microenvironmental states of pulmonary nodules
- Identify biomarkers for liquid biopsy development
- Prioritize PET tracer target discovery
- Contribute to validation strategies with pathologists
- Prepare high-impact interdisciplinary publications
- Act as a scientific integrator across research groups
- Communicate with clinicians, pathologists, imaging scientists, and technologists
- Maintain reproducible and well-documented analysis workflows
- Participate in participant-driven co-design process
- Develop framework for returning molecular and imaging data
- Contribute scientific content to patient workshops
- Create plain-language communication materials
- Co-facilitate workshops with ethicists and communication experts
- Synthesize participant feedback into structured outputs
- Create return-of-data blueprint and prototype participant reports
- Evaluate framework for future implementation
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- R
- Python
- omics data analysis
- single-cell transcriptomics
- spatial transcriptomics
- unsupervised learning
- clustering
- integrative analysis
Benefits
Modernes Büro
- State-of-the-art infrastructure
Workation & Sabbatical
- International exchange
Betriebliche Altersvorsorge
- Company pension plan
Sonstige Vorteile
- Capital-forming benefits
- DKFZ International Postdoc Program
Mehr Urlaubstage
- 30 days of vacation
Flexibles Arbeiten
- Flexible working hours
Familienfreundlichkeit
- Possibility of part-time work
- Family-friendly work environment
Öffi Tickets
- Discounted Germany job ticket
Gesundheits- & Fitnessangebote
- Company health management
Karriere- und Weiterentwicklung
- DKFZ Career Service
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
The German Cancer Research Center (DKFZ)
Branche
Research
Beschreibung
The company is one of Europe’s largest cancer research centers, focused on research for a life without cancer.
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