Scientist, Spatial Biology, Deliveromics Platform Development

About This Role

Advance the Deliveromics platform by optimizing in-situ barcode sequencing workflows and designing experiments at the chemistry-biology interface. This multifaceted role involves hands-on contributions to transformative technology enabling systematic, cell-specific drug delivery in vivo.

Responsibilities

• Optimize in-situ barcode sequencing workflows for robust, reproducible, high-quality data
• Design experiments at the chemistry-biology interface to advance spatial readout performance
• Analyze results quantitatively, document findings clearly, and provide recommendations that guide platform development
• Ensure accurate record-keeping (e.g., protocols, SOPs, experimental records)
• Troubleshoot technical challenges and integrate new methods across teams
• Apply statistical tools to assess quality, identify variability, and drive optimization
• Help scale workflows from benchtop prototypes to automated, production-ready systems

Requirements

• PhD in Bioengineering, Biomedical Engineering, Biochemistry, Biophysics, or related field
• Hands-on expertise in developing novel tools and methods for spatial biology, spanning FISH, RNAscope, MERFISH, in situ sequencing, spatial transcriptomics, and spatial proteomics
• Basic coding skills (e.g., Python, R, or MATLAB)
• Experience operating and troubleshooting optical imaging systems (confocal or fluorescence microscopy)
• Practical knowledge of tissue processing workflows (fresh-frozen and FFPE prep, cryosectioning, antigen retrieval)
• Strong problem-solving skills, attention to detail, and experimental rigor
• Clear communicator who collaborates well across scientific and technical teams
• Resourceful, adaptable team player who thrives in fast-paced, cross-functional environments

Qualifications

• PhD in Bioengineering, Biomedical Engineering, Biochemistry, Biophysics, or related field

Nice to Have

• Experiences with nucleic acid chemistry (mRNA, ASO, and siRNA, etc.)
• Experiences with drug delivery systems (lipid nanoparticles, polymer nanoparticles, AAV, etc.)
• Experience with image analysis pipelines or software tools (e.g., ImageJ or CellProfiler)
• Prior experience working with mouse and non-human primate tissues
• Familiarity with NGS or single-cell sequencing workflows such as scRNA-seq, ATAC-seq, or related methods
• Hands-on experience troubleshooting liquid-handling platforms or automated lab systems
• Relevant work experience in spatial biology, imaging, or sequencing-heavy environments

Skills

* Required skills

Benefits