Computational Associate II - Xavier Lab

Job summary

GENERAL INFORMATION Location Cambridge, MA Ref # 44586 Job Family Research Workplace On-Site Date published 07/28/2026 Time Type Full time Pay Range $58,000.00/yr - $80,667.

Benefits

Qualifications

• The Bro*** of MIT & Harvard is seeking a highly motivated Computational Associate II to join the Xavier Lab and Klarman Cell Observatory to provide computational support to collaborative research projects.
• Our group utilizes multi-omic datasets—including single-cell and spatial transcriptomics, perturbation screens, metagenomics, and metabolomics—to study mechanisms driving health and disease.
• We are an interdisciplinary group with expertise in computational biology, functional genomics, microbiology, and immunology.
• We are seeking a biologically curious individual with strong technical expertise who is driven to turn complex multi-omic datasets into biological insights.
• As a Computational Associate II you will work collaboratively with other lab members as well as lead independent analyses.
• In particular, we are seeking a candidate ready to analyze single cell and spatial multi-omics datasets and interested in the development of novel methods and workflows.
• We offer a collaborative and rigorous research environment with strong connections between wet and dry labs.
• In this position you will work closely with computational and experimental biologists, including principal investigators, research scientists, postdocs, and graduate students.
• You will also have opportunities to publish and present your work and interact with our collaborators at MGH, MIT, Harvard, and the Bro***.
• and timelines, shift priorities as needed, and efficiently execute project tasks
• Write well-crafted, maintainable, scalable, and performant code
• Learn new technical

Responsibilities

• Analyze data across various internal and external collaborations (e.g., single-cell RNA-Seq, single-cell ATAC-Seq, spatial transcriptomics, proteomics, metabolomics, and/or microbiome data)
• Develop, enhance, and maintain current and new bioinformatics pipelines
• Work with other team members and leadership to plan project

Skills

Degrees

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