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Postdoctoral Associate, Computational Biomedicine

Company: Boston University
Location: Boston, MA
Employment Type: Full Time
Date Posted: 10/25/2026
Job Categories: Education, Collegiate Faculty, Staff, Administration

Job Description

Postdoctoral Associate, Computational Biomedicine

Postdoctoral Associate, Computational Biomedicine

Job Description
Postdoctoral Associate, Computational Biomedicine

Category
Boston University Medical Campus --> Postdoctoral
Job Location
Boston, Massachusetts, United States
Tracking Code
26599938201023
Posted Date
10/23/2026
Minimum Salary
$67,500.00
Maximum Salary
$70,000.00

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Type
Full-Time/Regular

The Beane Lab within the section of computational biomedicine at Boston University Chobanian & Avedisian School of Medicine is seeking a highly motivated computational postdoctoral associate to lead the analysis of single-cell and spatial transcriptomic data across two translational research programs in lung and urethral disease. The successful candidate will join a collaborative group of computational biologists, bench scientists, pathologists, and clinicians, and will take intellectual ownership of projects from data processing through biological interpretation and publication.

Required Skills

Required

PhD (or equivalent) in computational biology, bioinformatics, genomics, biostatistics, systems biology, or a related quantitative field, obtained within the last [3] years or expected before the start date.
Hands-on experience analyzing single-cell and/or spatial transcriptomic data, with a first-author publication or preprint demonstrating this work.
Proficiency in R and/or Python and standard analysis frameworks (e.g., Seurat, Bioconductor, scanpy, squidpy, scvi-tools), and comfort working in a Linux/high-performance computing environment.
Working knowledge of, or a strong willingness to learn, the underlying biology, including epithelial and immune cell biology, tissue histology, and the pathophysiology of lung and urethral disease.
Excellent written and verbal communication skills in English and the ability to work both independently and as part of a multidisciplinary team.

Preferred

Background in cancer biology, immunology, pulmonary or urologic disease, or tissue pathology.
Experience with multimodal data integration, spatial neighborhood analysis, or machine learning applied to genomic or imaging data.
Experience with workflow management (e.g., Nextflow, Snakemake), containers, and version control (Git).

Application Instructions:

Please submit the following to Dr. Jennifer Beane (jbeane@bu.edu) with "Postdoctoral Associate - Single-Cell and Spatial Transcriptomics" in the subject line:

a cover letter (one page) describing your research experience, your interest in the position, and how your background prepares you to work at the interface of computation and lung or urethral biology;
a current CV including publications and links to code (e.g., GitHub); and
names and contact information for three references.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.

Job Location: Boston, MA
Position Type: Full-Time/Regular
Salary Grade: $67,500.00-$70,000.00

To apply, visit https://jobs.silkroad.com/BU/Faculty/jobs/317479

Contact Information

Contact Name:
Company Name: Boston University
Phone Number:
Fax Number:
Contact Email:
Website: https://apptrkr.com/9919294...

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