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.


The translational research group is looking for a talented and creative scientist who is passionate about oncology research that directly informs and shapes clinical trial designs. Areas of focus include patient selection strategy, sensitivity/resistance to agents targeting major oncogenic drivers and pathways, and rationale design of combination therapies. This individual will contribute and support multiple programs at late-stage discovery or development.

Your Role

  • Work effectively across functions to evaluate therapeutic impact of drug candidates in relevant disease models
  • Explore novel patient-derived in vitro and in vivo models to test therapeutic hypotheses and patient selection strategies
  • Develop disease-relevant models through cellular engineering
  • Support identification of disease pathway related biomarkers to evaluate therapeutic impact of drug candidates in the clinic
  • Support research to identify potential drug combinations
  • Data analysis and presentation at group meetings
  • Additional duties and responsibilities as required

Your Background

  • PhD with 0-2 years industry experience in biological sciences with a proven research accomplishments in oncology
  • Non-PhD with strong relevant experience in biopharma industry will also be considered
  • Strong background in using patient-derived or engineered models
  • Experience in CRISPr and RNAi a plus
  • Hands-on experience with various cell-based assay platforms to measure cell proliferation, apoptosis, protein phosphorylation, and gene expression
  • Proficiency in basic molecular and cell biology techniques such as transfection, viral transduction, western blotting, qPCR, and immunostaining
  • Ability to query public genomics databases to guide experimental design and hypothesis
  • Good understanding of cancer biology and targeted oncology drug discovery
  • Strong communication skill and a collaborative spirit

Personal attributes: team oriented, goal-driven, organized, highly collaborative, open-minded, data-driven, creative, persistent in the face of obstacles and uncertainty, flexible, self-aware of strengths and weaknesses, objective in the evaluation of data and strongly optimistic about overcoming challenges.

Application Form