Description

Summary

Novello Therapeutics is seeking a highly motivated Scientist or Senior Scientist in Bioinformatics to play a key role in advancing our cryptic antigen discovery and validation platform. Reporting to the Director of Research, this individual will lead computational analyses of multi-omics datasets and build scalable pipelines to support antigen discovery, prioritization and validation. The ideal candidate is a hands-on computational biologist with deep experience in analysis of transcriptomics, ribosome profiling (Ribo-Seq), and/or immunopeptidomics, a strong interest in cancer immunotherapy, and thrives in an entrepreneurial environment.

Key Responsibilities

• Lead the design and implementation of computational workflows to identify and validate cancer-restricted cryptic peptides derived from the dark genome 
• Design, build, and maintain scalable computing architecture (cloud and/or on-premise high-performance computing clusters) optimized for high-throughput biological data processing
• Implement secure, organized, and cost-effective data storage and retrieval solutions for large datasets, maintaining compliance with data governance and security standards
• Identify, re-analyze and integrate large-scale public datasets, including: RNA-seq, ribosome profiling (Ribo-Seq), immunopeptidomics (mass spectrometry-derived HLA-peptide datasets), and other datasets
• Collaborate cross-functionally with immunology, protein engineering, and antibody discovery teams to support target discovery, validation, and indication selection 
• Stay current with emerging computational methods and data resources relevant to immunopeptidomics, proteogenomics, and cancer biology 
• Present findings to senior leadership, internal teams, and external collaborators, contribute to study reports, publications, and intellectual property

Requirements

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field (or equivalent industry experience)
• 1+ year (Scientist) or 3+ years (Senior Scientist) of relevant industry experience
• Strong experience analyzing next-generation sequencing data (RNA-seq required; Ribo-Seq highly preferred)
• Experience with proteomics and/or immunopeptidomics data analysis
• Experience integrating multi-omics data, including identification of and experience mining from existing datasets
• Familiar with understanding data analysis methods and potential for associated data artifacts
• Proficiency in programming (Python and/or R) and command-line tools
• Experience in cancer immunology or oncology antigen discovery preferred, familiarity with non-canonical ORFs
• Outstanding communication skills, both written and verbal
• Highly collaborative, team-oriented, able to thrive in a high-growth, fast-paced, early-stage environment