Funded Computational Biology Postdoc: Immuno-Oncology

Boston University; Boston (MA); On-site; USD 65,000 - 85,000; Full time

Job summary

The Zhang Lab at Boston University Chobanian & Avedisian School of Medicine is seeking multiple Computational Biology Postdoctoral Associates 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 is provided for 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

Teamwork & communication

Self-guided learning

Domain knowledge in diseases

Education

PhD in Computational Biology or related quantitative field

Job description

The Zhang Lab at Boston University Chobanian & Avedisian School of Medicine is seeking multiple Computational Biology Postdoctoral Associates 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 is provided for computational equipment and conference attendance.