Senior Data Scientist, Bioinformatics

Responsibilities:
- Perform computational analysis of DNA and RNA sequences.
- Perform statistical analyses on experimental data from molecular and cell biology, immunology, and oncology.
- Mine clinical data with machine learning methods.
- Perform computational analysis of protein sequence data.
- Visualize and communicate analysis results to biologists.
- Contribute to scientific writing.

Qualifications/Experience:
- PhD, MS, or equivalent experience in molecular biology, biochemistry, computational biology, bioinformatics, or related discipline.
- 5+ years of experience with computational DNA analysis (insertion/variant analysis), bulk and single-cell RNA analysis, expression analysis, and pathway analysis.
- Familiarity with bioinformatics concepts and standard tools for sequence data handling, sequence alignment, and differential expression analysis.
- Good knowledge of statistics.
- Familiarity with Unix/Linux command line.
- Strong programming skills in R and Perl.
- Extensive experience with data analysis and visualization.
- Knowledge/experience with machine learning concepts and methods.
- Experience with protein sequence analysis from mass spectrometry data.
- Familiarity with AI-based tools appreciated.

Desired competencies:
- Adaptable to changing requirements; effectively engage with scientists to align analyses to experimental goals.
- Clear communication of methods, reasoning, results, and interpretations; provide/seek feedback.
- Communicate issues early; high performance independently and in a team.
- Meet schedules/timeframes; comfortable with electronic communication.
- Clear, structured information; can work in an international, culturally diverse environment; German language skills are a plus.