Computational Associate II - Xavier Lab

Broad Institute

$100K — $120K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • A BS degree and 2+ years of experience with a publication record, or an M.S. in a relevant field
  • Proficiency in Python or R, with knowledge of ML and deep learning
  • Experience analyzing single-cell and/or spatial transcriptomics data
  • Creativity, attention to detail, and strong critical thinking skills
  • Excellent communication and ability to collaborate with diverse teams
  • Proven ability to manage multiple tasks and adapt to shifting priorities

Responsibilities

  • Analyze multi-omics data for internal and external collaborations
  • Develop and maintain bioinformatics pipelines
  • Collaborate to plan project timelines and execute tasks efficiently
  • Write high-quality, maintainable code
  • Learn new skills and biological concepts as necessary
  • Present project updates in group meetings
  • Lead projects that contribute to first-author publications

Benefits

  • Comprehensive medical, dental, and vision insurance
  • 401(k) retirement plan
  • Flexible spending and health savings accounts
  • At least 13 paid holidays and winter closure
  • Paid time off and parental leave
  • Employee assistance program
Full Job Description
The Broad Institute 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 Broad Institute.

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 requirements and timelines, shift priorities as needed, and efficiently execute project tasks
  • Write well-crafted, maintainable, scalable, and performant code
  • Learn new technical skills and biological knowledge as needed
  • Present project progress during group meetings
  • Lead projects leading to first-author publications


Qualifications
  • A BS degree and a minimum of 2+ years of related experience with a publication record, or an M.S. in Computer Science/Engineering, Biology, Bioinformatics, or a related field
  • Python or R and knowledge of ML and deep learning methods
  • Experience analyzing biological data, such as experience working with single cell and/or spatial transcriptomics data
  • Independence, creativity, and attention to detail with excellent critical thinking, research, and analytical skills
  • Excellent communication and interpersonal skills and the ability to work with biologists, computational biologists, data scientists, and software engineers in a fast-paced, highly collaborative environment
  • Demonstrated ability to carry out a variety of tasks in parallel, recognize and solve problems effectively, and shift priorities rapidly


Selected Publications
  • Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis
    https://pubmed.ncbi.nlm.nih.gov/31348891/
  • The landscape of immune dysregulation in Crohn's disease revealed through single-cell transcriptomic profiling in the ileum and colon
    https://pubmed.ncbi.nlm.nih.gov/36720220/
  • Bidirectional CRISPR screens decode a GLIS3-dependent fibrotic cell circuit
    https://pubmed.ncbi.nlm.nih.gov/41501466/
  • Population-scale multiome immune cell atlas reveals complex disease drivers
    https://www.medrxiv.org/content/10.1101/2025.11.25.25340489v1
  • A structure-informed deep learning framework for modeling TCR-peptide-HLA interactions
    https://www.biorxiv.org/content/10.64898/2026.03.31.715361v2.full
  • Bridging AI and biology: Foundation models meet human physiology and disease
    https://pubmed.ncbi.nlm.nih.gov/41519120/


The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.

At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.

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