eGenesis
Scientist II, Computational Biology (Single Cell & Spatial)
Cambridge, MA · Mid
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$12,014 more — $147,014 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $147,014 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Biological Scientists, All Other" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Biological Scientists, All Other (19-1029) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We are seeking a highly skilled and motivated Scientist II with expertise in single cell and spatial genomics data analysis.
- The ideal candidate will play a key role in unraveling the cellular and spatial architecture of engineered organs and immune interactions in our translational research programs.
- Integrate multimodal datasets, including spatial transcriptomics, scRNA-seq, proteomics, metabolomics, pathology and clinical metadata, to uncover insights into tissue remodeling and immune responses.
Responsibilities
- Identify and frame open biological questions across our programs, define the analytical strategy to address them, and set your own priorities with minimal day-to-day direction.
- Lead the design, analysis, and interpretation of single cell RNA-seq and spatial transcriptomics experiments.
- Collaborate with cross-functional teams including wet lab scientists, immunologists, bioinformaticians, clinicians and translational scientists.
- Develop scalable pipelines for high-dimensional single cell and spatial datasets, and build new analytical approaches where existing tools fall short (e.g., cross-species cell mapping, sparse or incomplete reference annotations).
- Perform spatially resolved analyses of cell states, tissue architecture, cell-cell interactions, and molecular programs associated with graft injury, inflammation, remodeling, and repair.
- eGenesis is a clinical-stage biotechnology company developing human-compatible engineered organs to address the severe global organ shortage.
- EGEN-2784, a genetically engineered porcine kidney, is the Company's lead program and is currently being evaluated in a multi-patient Expanded Access study at MGH. eGenesis is headquartered in Cambridge, MA.
Requirements
- 3+ years of postdoctoral or industry experience analyzing single cell and spatial data, including scRNA-seq and spatial transcriptomics.
- Strong proficiency with R and/or Python for statistical computing and data visualization.
- Deep understanding of immune cell biology and ability to interpret immune-related transcriptional signatures.
- Practical experience using AI tools (e.g., LLM-based coding assistants and agents) to speed up analysis and software development, with the judgment to check AI-generated code and results critically.
Nice to have
- experience integrating across platforms is a strong plus.
- Candidate should have an understanding of platform-specific strengths, limitations, and analytical considerations.
- Hands-on experience analyzing spatial transcriptomics data from at least one sequencing-based or imaging-based platform (e.g., Visium/Visium HD, Xenium, Trekker, Seeker)
Compensation
- $135k-$165k
Company info
- At eGenesis, our core values -innovation, collaboration, compassion, resilience, and passion-are at the center of how we work.
- POSITION SUMMARY We are seeking a highly skilled and motivated Scientist II with expertise in single cell and spatial genomics data analysis.
This listing is sourced directly from eGenesis's careers page and normalized into a canonical job model.