If you have extensive bioinformatics and functional genomics experience and wish use your skillset to help develop oncology therapeutics, we may have the opportunity you are looking for. We are helping our client find a bioinformatics expert to design and implement genomic library screens and develop relevant isogenic models for phenotypic screens to validate new oncology targets. You will conduct relevant genomic/proteomic studies to determine MOA as well as identify both patient selection and PD biomarkers. This role requires you to work cross-functional with chemistry, project drug discovery teams, and translational biology.

Our client is a public, clinical-stage precision oncology company. Using a highly refined methodology, they are expanding their early small molecule portfolio. These internally discovered investigational drugs are designed to address existing limitations of current cancer therapies. The research organization has the exciting task of discovering new investigational molecules and identifying new clinical opportunities for existing pipeline molecules.


  • Mine tangible drug targets from public databases
  • Conduct focused in-house studies (e.g. CRISPR/RNAi screen) to validate targets in support of discovery efforts
  • Perform synthetic lethality screens with pipeline assets in combination with pooled and/or arrayed format CRISPRi/RNAi libraries
  • Design and coordinate genomic and phospho-proteomics studies for MOA determination and PD biomarker ID. 
  • Oversee external CRO efforts in functional genomic and phospho-proteomics studies


  • Ph.D. in relevant field
  • 4 – 8 years of industry experience using genomic library screening platforms to drive drug discovery
  • Extensive cancer biology knowledge
  • Deep knowledge of functional genomics, molecular phenotypic profiling, and cellular signaling
  • Proven expertise in evaluating the effects of small molecule inhibitors in cells
  • Experienced in characterizing signaling networks in tumor cells
  • Background in functional genomic evaluation (e.g. qPCR, NanoString, RNA-Seq, NGS)
  • Previous work determining small molecule mechanisms of action plus identifying both patient selection and PD biomarkers
  • Experience in cell-based assay development, validate CRISPR and proteomics data (using flow cytometry, image-based assays, gene reporter, and/or expression assays)
  • CRISPR/CAS9 gene editing (knock-in and knock-out) methodology experience
  • Background with mass-spec based phospho-proteomics
  • Must have deep understanding of computational biology necessary and be able to leverage bioinformatics to integrate knowledge and develop an understanding of complex biological systems
  • Strong publication record in top-tier journals desired

To apply for this position, confidentially email us here.