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.

• 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.

• 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/time frames; comfortable with electronic communication.
• Clear, structured information; can work in an international, culturally diverse environment;
  German language skills are a plus.