Postdoc: Computational Biomedicine for Immuno-Oncology & Kidney Aging

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

Job summary

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

Funding supports computational equipment and conference attendance.

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.

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

Bioinformatics

Teamwork

Self-guided learning

Education

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

Job description

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

Funding supports computational equipment and conference attendance.