Germany Resume Guide
Understand the German Lebenslauf format and what German employers expect. Learn about photo conventions, the Europass format, and how to structure your CV for Germany.
Key Facts
Photo Expected
Yes
Resume Length
1-2 pages
Date Format
DD.MM.YYYY
Region
Europe
Expected Sections
Format Preferences
The German CV, called a Lebenslauf, is typically 1-2 pages and follows a strict reverse-chronological format. A professional photo is strongly expected and usually placed in the top-right corner. Include your date of birth, nationality, and marital status — this is standard practice in Germany. Education details should include the exact degree title in German if applicable. The Europass format is accepted but a well-designed custom CV is preferred by most employers.
Tips
- Include a professional headshot in the top-right corner — this is strongly expected in Germany.
- Add your date of birth, nationality, and marital status in the personal details section.
- Use the German date format DD.MM.YYYY throughout your CV.
- List your education with exact German degree titles where applicable (e.g., Diplom-Ingenieur).
- Sign and date your CV at the bottom — some traditional German employers still expect this.
Resume Example
Dr. Kenji Tanaka
Research Scientist | Computational Biology · Genomics · Drug Discovery
Research Summary
Independent research scientist and principal investigator studying the genetic basis of rare metabolic disorders. Published 28 peer-reviewed papers (h-index 18) and secured $4.2M in NIH and NSF grant funding. Expert in single-cell RNA sequencing, CRISPR-Cas9 functional genomics, and computational pathway analysis. Passionate about translating bench discoveries into therapeutic leads.
Research Experience
Lead an 8-person lab (3 postdocs, 3 PhD students, 2 research assistants) investigating the genomic and metabolic underpinnings of lysosomal storage disorders.
Developed a CRISPR base-editing approach that corrected the target mutation in 78% of patient-derived iPSCs in vitro.
Secured $4.2M in grant funding across NIH R01, NSF CAREER, and Pew Biomedical Scholar awards.
Published 12 papers since joining Scripps; 4 in Nature/Cell family journals.
Applied single-cell RNA-seq (10x Genomics) to profile transcriptomic heterogeneity in 15 rare disease patient cohorts.
Co-developed an open-source computational pipeline (PyScArches) for integrating multi-modal single-cell data; 1,200+ GitHub stars.
Co-first author on Nature Methods paper that became a top-10 cited paper of 2020.
Education
Selected Publications
Demonstrated therapeutic correction of TFEB mutations in patient iPSC-derived hepatocytes using adenine base editors, achieving 78% editing efficiency.
Open-source Python toolkit enabling integration of 10M+ cells across scRNA-seq, scATAC-seq, and spatial transcriptomics modalities.
Profiles
Technical Skills
CRISPR-Cas9, scRNA-seq, iPSC Culture, Flow Cytometry, Western Blot, qPCR
Python, R, Seurat, Scanpy, DESeq2, Nextflow
NIH R01, NSF CAREER, Aims Page Development, Budget Justification
Training & Credentials
Grants & Honours
Service & Mentorship
Review applications and interview candidates for the CMBB doctoral programme.
Interests
Public Lectures, Science Twitter
Mathematical Origami, Modular Structures
Languages
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