Computational Spatial Transcriptomics Jobs in Boston, MA

About Us:

GT Biosciences is building Deliveromics, the world’s first AI-powered, high-throughput, and multiplexed in vivo data engine for decoding the design rules of drug delivery. Founded by MIT scientists and backed by top-tier investors, we are creating next-generation non-viral, cell-type-specific delivery vehicles, including early success in crossing the blood–brain barrier and transfecting specific brain cell types. We are a tightly-knit, fast-moving, and science-driven team dedicated to making routine in vivo cell reprogramming a reality.

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. The ideal candidate brings deep expertise in spatial biology, nucleic acid sequencing, and assay development, with a passion for transforming complex experimental workflows into robust, automated, and scalable processes. As one of the earliest scientific hires, you will collaborate closely across biology, chemistry, and engineering to generate high-quality data and insights that propel and shape the Deliveromics platform innovations. You will contribute directly to a transformative technology that provides systematic solutions to cell-specific drug delivery in vivo. This is a full-time, in-person position based in Cambridge, MA.

Responsibilities:

• Optimize and refine assay workflows for in situ barcode sequencing, ensuring high robustness, reproducibility, and sensitivity.

• Design and execute experiments at the interface of chemistry and molecular biology to advance spatial readout performance.

• Direct contributions to assay chemistry: probe design, hybridization kinetics, signal generation and amplification, or multiplexing strategies.

• Work collaboratively across teams to troubleshoot issues, solve technical challenges, and integrate new methods into the Deliveromics platform.

• Analyze experimental results using rigorous quantitative approaches, generate clear technical reports, and provide actionable recommendations that guide platform development.

• Apply statistical and process-evaluation tools to assess workflow quality, identify variability, and support data-driven optimization.

• Maintain thorough documentation, including protocols, SOPs, experimental records, and analysis reports, to ensure full reproducibility.

• Drive process innovation and contribute to technology transfer as workflows become more automated, scalable, and production-ready.

Qualifications:

Required:

• PhD in Bioengineering, Biomedical Engineering, Biochemistry, Biophysics, or a related discipline. Strong candidates demonstrating significant experience without doctoral degrees will be considered.

• Hands-on experience developing, engineering, or building probe/chemistry development, image acquisition pipelines for spatial biology technologies, such as novel FISH-based assays, in situ sequencing chemistries, spatial transcriptomics or proteomics platforms.

• Experience rooted in building and understanding novel technologies, not simply the end-use of commercial platforms.

• Strong understanding of relevant computational workflows.

• Practical experience with tissue processing workflows, such as fresh-frozen and FFPE preparation, cryosectioning, and antigen retrieval.

• Experience operating, optimizing, and troubleshooting optical imaging systems, including confocal or fluorescence microscopy.

• Exceptional problem-solving skills, attention to detail, and experimental rigor.

• Excellent written and verbal communication skills, with the ability to collaborate effectively across diverse scientific and technical teams.

• A resourceful, adaptable, and emotionally intelligent team player who thrives in fast-paced, cross-functional environments.

• Ability to work onsite five days per week at our Cambridge, MA location.

Preferred:

• Deep mechanistic understanding of the underlying principles behind spatial biology methods, including probe design, signal amplification, optical systems, and computational decoding, across areas such as FISH, MERFISH, in situ sequencing, spatial transcriptomics, or spatial proteomics

• Ability to reason from first principles across probe design, signal amplification, and multiplexing.

• Familiarity with technologies such as FISH, MERFISH, in situ sequencing, spatial transcriptomics, or spatial proteomics

Nice to have:

• Experiences with nucleic acid chemistry (mRNA, ASO, and siRNA, etc.).

• Experiences with drug delivery systems (lipid nanoparticles, polymer nanoparticles, AAV, etc.).

• Basic coding skills (e.g., Python, R, or MATLAB).

• Experience with image analysis pipelines or software tools (e.g., ImageJ or CellProfiler).

• Prior experience working with 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.

Equal Opportunity Employer:

GT Biosciences is an Equal Opportunity Employer. We celebrate diversity and are committed to fostering an inclusive, supportive environment for all employees. All qualified applicants will be considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

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