Senior – Principal Scientist – Computational / Systems Biology

Senior – Principal Scientist – Computational / Systems Biology

Requirements

• PhD in Computer Science, Bioinformatics, Genomics or related fields with at least 5 years of work experience, preferably in industry setting
• Extensive experience with -omic data processing and developing standardized processing and analysis pipelines e.g., transcriptomic, proteomics datasets
• Experience with single-cell analyses, including single-cell RNA-seq data processing and analysis. Experience with additional technologies such as single-cell ATAC is nice to have
• Experience in visualization of complex genomic data, and automated report generation
• Ability to perform differential expression, gene co-expression or network analyses
• Strong scientific programming skills (Python preferred) and experience with high-throughput or cloud compute (especially GCP)
• Basic understanding of human genetics, such as genomic regions and regulation (e.g., exons, introns, enhancers, promoters, transcription, translation, micrRNAs, RNA-binding proteins etc.); basic understanding of human biology and disease

Responsibilities

• Leverage large-scale genetic data-sets to find potential targets and molecular mechanisms for oligonucleotide therapeutics
• Lead the development and implementation of analysis methods, automated data processing and visualization pipelines for large-scale -omics data
• Organize the activities of bioinformatic scientists and data scientists
• Collaborate with other teams, including statistical genetics, ML science, engineering, and biology teams

Preferred Qualifications

• Previous work experience in cardiometabolic or CNS diseases is desirable
• Familiarity with machine learning or AI models in the context of -omics is an advantage but not required
• Previous experience in managing direct reports and/or external vendors is desirable