Description

About Us:

GT Biosciences is a seed-stage techbio startup building Deliveromics, the first AI-powered, high-throughput, multiplexed in vivo data engine for cracking the design rules of drug delivery. Founded by MIT PhDs and an MIT professor, backed by top-tier investors, we’re creating next-generation, non-viral, cell-type-specific delivery vehicles.

We’re a small, fast-moving, science-obsessed team on a mission to make routine in vivo cell reprogramming possible. We value transparency and collaboration, and seek teammates who thrive in an open, cooperative environment and want to grow together with the team and the company.

Job Description:

GT Biosciences is seeking a highly mission-driven, multidisciplinary Spatial Biology Scientist to join our Platform Development Team and help advance our Deliveromics platform. In this role, you will work closely, day-to-day, with teammates across biology, chemistry, and engineering to turn complex spatial and sequencing workflows into robust, automated, and scalable systems. You will contribute hands-on to a transformative technology aimed at enabling systematic, cell-specific drug delivery in vivo. This is a full-time, in-person position based in Cambridge, MA.

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

Qualifications:

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.
   

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 similar roles across academia, industry, or core facilities, particularly in spatial biology, imaging, or sequencing-heavy environments.
   

What we offer:

• Competitive salary and equity.
• Flexible, generous health benefits.
• Work with a small, world-class team that values rigorous science and candid collaboration.
• Opportunity to work with experts from diverse scientific backgrounds.
   

We don't expect anyone to know everything.

We learn together, support each other, and get better every day!

If you are ready to make an impact, we would love to hear from you.