Computational Biology Postdoc: Immuno-Oncology & Imaging

Boston University; Boston (MA); Presencial; USD 60.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Conference travel funding

Computational equipment budget

Descripción de la vacante

The Zhang Lab at Boston University School of Medicine is seeking multiple Computational Biology Postdoctoral Fellows 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.

Formación

• PhD required in a quantitative field (computational biology, CS, biostatistics, mathematics).
• Experience with teamwork and group communication.
• Experience with self-guided learning in a rapidly evolving technical environment.
• Experience in kidney disease, melanoma, Alzheimer’s disease, microbiome, or other relevant disease areas preferred.
• Microbiome/metagenomics familiarity (16S rRNA or shotgun data analysis) is a plus.
• Biomedical imaging analysis experience, including histopathology, spatial transcriptomics, and multimodal data integration, is desirable.
• Background in deep learning and mathematical modeling, with familiarity with graph neural networks, diffusion models, flow matching, and optimal transport.

Responsabilidades

• Develop principled methods using deep learning and advanced mathematical modeling 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.

Conocimientos

Teamwork

Self-guided learning

Deep learning

Computational biology

Bioinformatics

Educación

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

Descripción del empleo

The Zhang Lab at Boston University School of Medicine is seeking multiple Computational Biology Postdoctoral Fellows 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.