Postdoctoral Associate, Medicine/Computational Biomedicine

Boston University; Boston (MA); On-site; USD 68,000 - 70,000; Full time

Job summary

Boston University is seeking multiple Computational Biology Postdoctoral Associates within the Zhang Lab to study immuno-oncology, kidney disease, or aging. You will lead the development of novel computational methods and integrate diverse omics and biomedical imaging data generated by the lab and collaborators.

The position offers dedicated funding for computational equipment and support to attend national and international conferences.

Qualifications

• PhD in Computational Biology, Computer Science, Biostatistics, Mathematics or related quantitative fields.
• Experience with teamwork and group communication.
• Experience with self-guided learning in a quickly evolving technical environment.
• Experience in kidney disease, melanoma, AD, microbiome, or other relevant disease areas is preferred.

Responsibilities

• Develop principled methods, based on deep learning and advanced mathematical modeling techniques to address biological questions.
• Analyze massive functional genomics data at single cell and population levels.
• Analyze large cohorts of pathological imaging and spatial transcriptomics data.
• Prepare manuscripts and scientific reports.

Skills

Deep learning

Mathematical modeling

Teamwork

Self-guided learning

Data analysis

Education

PhD in Computational Biology, Computer Science, Biostatistics, Mathematics or related quantitative field

Tools

Graph neural networks

Diffusion models

Flow matching

Optimal transport

Spatial transcriptomics

Histopathology image analysis

3D reconstruction

Job description

Postdoctoral Associate, Medicine/Computational Biomedicine

Category

Boston University Medical Campus --> Postdoctoral

Tracking Code

26599938261103

Posted Date

11/3/2026

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 Zhang Lab within the section of computational biomedicine at Boston University Chobanian & Avedisian School of Medicine is seeking multiple Computational Biology Postdoctoral Associates interested in studying immuno-oncology, kidney disease, or aging. Postdoctoral scholars will lead the development of novel computational and bioinformatics methods and integrate diverse types of high-throughput biological, omics, and biomedical imaging data generated by the lab and its collaborators.

The position offers dedicated funding for computational equipment and support to attend national and international conferences. The lab provides an interdisciplinary research environment with opportunities to develop innovative computational methods and apply them to important biological and biomedical questions.

Responsibilities:

• Develop principled methods, based on deep learning and advanced mathematical modeling techniques to address biological questions.
• Analyze massive functional genomics data at single cell and population levels.
• Analyze large cohorts of pathological imaging and spatial transcriptomics data.
• Prepare manuscripts and scientific reports.

Required Skills

Qualifications

• PhD in Computational Biology, Computer Science, Biostatistics, Mathematics or other related quantitative areas.
• Experience with teamwork and group communication.
• Experience with self-guided learning in a quickly evolving technical environment.
• Experience in kidney disease, melanoma, AD, microbiome, or other relevant disease areas is preferred.

Additional Preferred Qualifications Related to Potential Projects:

Microbiome and metagenomics: Familiarity with 16S rRNA or shotgun metagenomic data analysis, commonly used microbiome identification and profiling tools, and microbiome metabolic analysis. Experience studying microbiome-host or microbiome-microenvironment interactions is preferred.

Biomedical imaging analysis: Experience with biomedical image analysis, including histopathology images (e.g., H&E), spatial transcriptomics, image processing, segmentation, and classification. Experience with multimodal data integration, such as integrating imaging and molecular data or combining different imaging modalities, is highly desirable. Experience with image registration and 3D reconstruction is preferred.

Deep learning and mathematical modeling: Strong background in deep learning and/or mathematical modeling, with familiarity with graph neural networks, diffusion models, flow matching, and optimal transport.

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.