Find & Apply For Biostatistician Jobs in Newton, Massachusetts

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

Qualifications:

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