GT.Bio · 2 days ago
Scientist, Spatial Biology, Deliveromics Platform Development
Cambridge, MA
Full-time
Onsite
Mid, Senior LevelGT Biosciences is a seed-stage techbio startup focused on developing Deliveromics, an AI-powered platform for drug delivery. The Spatial Biology Scientist will collaborate with cross-functional teams to optimize workflows and contribute to a transformative technology aimed at enabling systematic, cell-specific drug delivery in vivo.
Biotechnology
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
Qualification
Required
PhD in Bioengineering, Biomedical Engineering, Biochemistry, Biophysics, or related field. Exceptional candidates with equivalent experience will be considered
Hands-on expertise in spatial biology techniques (FISH, RNAscope, MERFISH, in situ sequencing, spatial transcriptomics, or 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
Available to work onsite full time
Preferred
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 similar roles across academia, industry, or core facilities, particularly in spatial biology, imaging, or sequencing-heavy environments
Benefits
Competitive salary and equity.
Flexible, generous health benefits.
Company
GT.Bio
Creating in vivo drug delivery atlas to enable precise, scalable, and affordable medicine for patients.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase