Computational Biologist (Synthetic Spatial Omics)

Location: New York, NY; hybrid position requiring onsite work at least 60% of the working month, approximately 3 days per week.

Salary: $153,000–$191,000 annual base pay, with potential eligibility for a discretionary performance bonus.

Company

hirify.global integrates frontier AI models, biological foundation models, large-scale computing, and experimental capabilities to accelerate scientific discovery and develop tools for biomedical research.

What you will do

• Lead computational analysis of multiplexed imaging, spatial omics, and other high-dimensional datasets from endogenous and engineered immune cells.
• Develop machine-learning and computational methods to identify interpretable relationships among molecular state, cellular morphology, subcellular organization, engineered design, and tissue context.
• Build models that predict molecular states, functional outcomes, and perturbation responses from imaging and multimodal measurements.
• Collaborate with experimental scientists to design studies, define controls, establish quantitative benchmarks, and improve experimental and computational workflows.
• Develop robust, reproducible, and scalable analysis pipelines and software.
• Contribute to the computational design or evaluation of synthetic receptors, transcription factors, protein circuits, preprints, publications, and open science practices.

Requirements

• PhD in Computational Biology, Computer Science, Biomedical Engineering, or a closely related discipline.
• At least 2 years of experience developing AI/ML-based computational frameworks.
• Strong programming skills in Python, R, or a comparable scientific computing environment.
• Research productivity demonstrated through publications and collaboration with experimental scientists.
• Solid foundation in cell biology and genomics.
• Ability to independently design rigorous computational frameworks, troubleshoot complex workflows, and communicate scientific findings effectively.

Nice to have

• Experience developing computational methods, software, or novel analytical frameworks.
• Experience with multiplexed microscopy, tissue imaging, imaging-based spatial omics, cell segmentation, representation learning, spatial statistics, morphological profiling, or subcellular image analysis.
• Experience with single-cell, perturbation, or multimodal omics datasets.
• Experience with computational protein design, de novo receptor design, transcriptional regulation, or synthetic protein circuits.
• Familiarity with immunology, engineered immune cells, or synthetic biology.

Culture & Benefits

• Collaborative, team-oriented environment with strong in-person connections.
• Relocation support for employees who need assistance moving.
• Employer match on 401(k) contributions.
• Paid time off for volunteering.
• Funding for select family-forming benefits.

Hiring process

• Submit a cover letter describing research interests, motivations, and career goals.
• Submit a full CV highlighting major achievements and significant publications.
• Hiring decisions consider job-related skills and experience throughout the interview process.