Associate Scientist, Post Doc Fellow- Immunology Analytics (Single-Cell and Spatial Transcriptomics)

Location: Cambridge, Massachusetts, United States of America. Full-time onsite role; flexible work arrangements are not applicable. Domestic relocation is listed as available, and visa sponsorship is available.

Salary: $82,000–$92,000 per year, plus annual bonus and long-term incentive if applicable.

Company

hirify.global offers this postdoctoral research opportunity within cross-functional teams spanning computational biology, immunology, translational medicine, drug discovery, Data, AI and Genome Sciences, Immunology Discovery, and Translational Medicine.

What you will do

• Build cellular atlases of immune-mediated inflammatory diseases using single-cell transcriptomic data from diseased and comparator human tissues.
• Analyze spatial transcriptomics datasets to define tissue niches, cellular neighborhoods, multicellular interactions, and disease-associated microenvironments.
• Integrate single-cell, spatial, transcriptomic, proteomic, clinical, and other multimodal datasets to develop disease-mechanism and translational biology models.
• Evaluate target expression, pathway activity, biomarkers, disease endotypes, therapeutic response, and patient-stratification signatures.
• Develop scalable computational methods and reusable resources for data integration, annotation, interpretation, and spatial analysis.
• Collaborate with immunologists, translational scientists, clinicians, and computational researchers; lead publication-quality analyses, manuscripts, and scientific presentations.

Requirements

• Currently hold a PhD or receive a PhD no later than spring 2027 in Computational Biology, Bioinformatics, Systems Biology, Genomics, Computer Science, Statistics, or a related discipline.
• Strong programming skills in R and/or Python.
• Experience analyzing large-scale genomics or multi-omics datasets.
• Hands-on experience with GPU computing, HPC clusters, and AWS cloud environments for large-scale single-cell and spatial omics analyses.
• Ability to develop and optimize scalable computational pipelines for scRNA-seq, spatial transcriptomics, and multimodal biological data.
• Demonstrated publication record in computational biology, genomics, immunology, or related fields.
• Strong scientific communication, presentation, and collaboration skills.

Nice to have

• Experience with single-cell omics workflows such as Seurat, Scanpy, scVI, CellChat, MultiNicheNet, or related tools.
• Experience with Xenium, CosMx, Visium, MERFISH, or related spatial transcriptomics technologies.
• Background in immunology, inflammatory diseases, tissue biology, or translational research.
• Experience with machine learning, network analysis, systems biology, or multimodal data integration.
• Familiarity with cloud computing and high-performance computing environments.
• Experience working with large-scale human cohort datasets.

Culture & Benefits

• Mentorship from experts in computational biology, immunology, translational medicine, and drug discovery.
• Opportunities to publish first-author manuscripts and present at major international scientific conferences.
• Development of expertise in single-cell, spatial, and multi-omics technologies.
• Interdisciplinary collaboration across academia and industry.
• Medical, dental, vision, and other insurance benefits for employees and families.
• Retirement benefits including 401(k), paid holidays, vacation, compassionate and sick days.