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Postdoctoral Associate

Broad Institute of MIT and Harvard · Xavier Lab · United States

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About this position

Description & Requirements

  • The Broad Institute of MIT & Harvard is seeking a highly motivated
  • Postdoctoral Associate to join the Xavier Lab and Klarman Cell
  • Observatory and lead data analysis and algorithm development designed
  • to determine the underlying factors contributing to health and
  • disease, with a strong focus on discovering disease mechanisms at the
  • level of their molecular and cellular pathways.
  • We are an interdisciplinary group with expertise in computational
  • biology, functional genomics, microbiology, and immunology. The
  • candidate for this position will be working closely with computational
  • and experimental biologists, including Principal Investigators,
  • graduate students, and staff scientists in the group. They will
  • contribute by directing, planning, and executing the analyses of large
  • multi-omic datasets with the goal of identifying biological features
  • (e.g., variants, genes, microbes) that are relevant to human health.
  • Prospective applicants should have made significant contributions to
  • their area of study, as evidenced by a strong publication record. We
  • are seeking creative and highly motivated individuals who want to work
  • in a dynamic, multi- disciplinary research environment.
  • The ideal candidate will be the computational analysis lead for
  • projects discovering the mechanisms behind inflammatory and autoimmune
  • diseases. They should have excellent technical expertise while being
  • driven to make a biological impact. In particular, we are seeking a
  • postdoc to take primary leadership for analyzing spatial and
  • single-cell multiomics datasets collected from human tissue samples as
  • well as mouse models.

Responsibilities

  • Oversee data generation and data analysis across various internal
  • and external collaborations. Includes working datasets such as
  • single-cell RNA-Seq, single-cell ATAC-Seq, spatial
  • transcriptomics, proteomics, metabolomics, and/or microbiome data.

Demonstrate flexibility to execute tasks requiring various skill

levels and learn new skills as needed.

  • Perform analyses using current processes and identify, propose,
  • and implement improvements to ensure output of high-quality
  • datasets.
  • Work with other team members and leadership to plan project
  • requirements and timelines, shift priorities as needed, and
  • efficiently execute project tasks.
  • Identify and help solve methodological problems, including
  • adjustments to experimental and computational protocols to ensure
  • generation of high-quality datasets suited to answer core
  • biological questions.
  • Use single cell and spatial transcriptomic approaches to
  • understand tissue organization and how they are altered in disease
  • environments such as chronic inflammation.

Use a systems medicine approach to understand inflammatory and

other diseases.

Develop novel methods to facilitate exploration of unstructured

datasets.

Write well-crafted, maintainable, scalable, and performant code.

Lead and carry out projects with minimal supervision.

Participate in writing papers and grant proposals.

Present project progress during group meetings.

Qualifications

  • Ph.D. in Computational Biology, Computer Science, Physics, Math,
  • Statistics, or related quantitative fields and strong knowledge of
  • a variety of biological areas of research with 0+ years of
  • experience within the field.

Scientific and numerical programming in Python or R and knowledge

of class ML methods and deep learning methods.

  • Well versed in a variety of bioinformatic analyses, including Next
  • Generation Sequencing pipelines (single-cell RNA-Seq, single-cell
  • ATAC-Seq, spatial transcriptomics analyses etc...).

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.

Must be able to work independently as well as part of a team 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.
  • The Broad Institute is an equal opportunity employer. All qualified
  • applicants will receive consideration for employment without regard to
  • race, national origin, religion, age, color, sex, disability,
  • protected veteran status, or any other characteristic protected by
  • local, state, or federal laws, rules, or regulations.
  • Should you need a reasonable accommodation to complete the application
  • or interview process, please contact recruiting@broadinstitute.org for
  • assistance.

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