Scientist/Senior Scientist, Computational Biology

Responsibilities

• Lead bioinformatics analyses across discovery and translational sciences using RNA-seq, single-cell RNA-seq, WES, WGS, and other omics datasets
• Develop reproducible computational workflows for QC, processing, feature engineering, and visualization
• Integrate internal datasets with public cancer resources like TCGA, DepMap, and CCLE to prioritize targets and biomarkers
• Build analyses connecting cancer genotype, lineage, CIN biology, and therapeutic hypotheses
• Partner with discovery teams to design experiments and interpret results
• Support translational strategy by connecting preclinical models to patient genomics
• Build durable, modular code using Python/R, workflow management, and version control
• Utilize AI coding assistants to accelerate code generation and documentation while maintaining scientific accountability
• Define technical standards for reproducible bioinformatics across the organization

Requirements

• PhD or equivalent experience in bioinformatics, computational biology, genomics, or a related quantitative field
• Deep experience analyzing high-throughput sequencing data, specifically transcriptomic and cancer genomic data
• Strong coding proficiency in Python and/or R, with Unix/Linux and bash skills
• Familiarity with cloud or HPC environments for large biological datasets
• Biological insight in oncology, cancer genomics, or DNA damage response
• Experience in target discovery, biomarker discovery, or computational oncology
• Experience analyzing functional genomics screens, CRISPR dependencies, or multi-omics studies
• Proven track record of collaborating with wet-lab scientists
• Experience using AI coding assistants or LLM-based developer tools

About the Company

Volastra Therapeutics is a clinical-stage oncology biotech company based in New York City, pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN).