About Ikena

Ikena Oncology (NASDAQ: IKNA) is a targeted oncology company focused on developing cancer therapies targeting key signaling pathways that drive the formation and spread of cancer. Ikena is advancing five programs that include four product candidates in either clinical development or IND-enabling studies and has a global strategic collaboration with Bristol Myers Squibb.


Ikena offers an exciting new opportunity to join our team as a highly creative, diversely experienced, and self-motivated bioinformatics/computational scientist. You will be part of an innovative, scientifically driven, and fast paced team focused on developing breakthrough cancer therapies. You will take responsibility for computational aspects of drug discovery and development by working closely with discovery and translational scientists.

Your Role

  • You will develop and maintain analytical and data visualization pipelines for analysis of genomics, epigenomics, transcriptomics, and pharmacological data across a broad range of human cancers
  • Collaborate with biology and translational teams to design and execute data analysis to support project needs
  • Integrate and analyze multi-dimensional data from proprietary and publicly available datasets to support new target evaluation, biomarker discovery, indication selection, and patient stratification
  • Critically analyze results, detect relevant data associations, and prepare reports in the form of presentations for project teams
  • Manage and execute multiple projects across matrixed teams; work with leadership to meet short timelines while maintaining scientific rigor
  • Explore, implement, and master new technologies, computational tools, and best practices for data analysis and data management
  • Additional duties and responsibilities as required

Your Background

  • You will have a PhD in bioinformatics, computational biology, or data science related fields with 3+ years of experience in academia or industry
  • Experienced in NGS and omics data analysis, with a focus on RNA- and DNA-seq
  • Deep knowledge of public genomic, transcriptomic databases and tools (e.g., TCGA, ICGC, cBioportal, DepMap, GEO, GTEx, ENSEMBL)
  • Experience with AWS environment preferred
  • Fluency programming in R or Python
  • Good understanding of the genetic and molecular mechanisms of cancer
  • Excellent data management and analytical skills
  • Ability to derive insights from complex multi-dimensional biological data including bulk and single cell RNAseq, somatic mutation, and copy number alteration data, biological networks, and pathways
  • Significant experience applying statistics to the analysis of large datasets
  • Familiarity with machine learning techniques
  • Demonstrated ability to multitask and excellent time management and presentation skills

Application Form