The Pellin Lab at the DFCI-BCH Gene Therapy Program/Harvard Medical School is seeking a highly motivated and talented postdoctoral researcher to join our team. We are a dynamic and interdisciplinary lab that focuses on gene therapy data analysis, methods for single cell genomics, and modeling of clonal dynamics. This is a unique opportunity to work at the cutting edge of research in gene therapy and contribute to both the development of novel therapeutic approaches and the statistical methodologies.
From a modeling perspective, we are interested in stochastic processes over graph, analysis of spatio-temporal processes, (non-)linear modeling using differential equations, and agent-based modeling. From a biological perspective, we work on gene therapy preclinical and clinical studies, hematopoietic stem cell biology, immune cells in the context of neurodegenerative diseases, and genome editing technology.
• Analyze large-scale gene therapy datasets, including gene expression, single cell genomics, and clonal dynamics data.
• Develop and implement computational methods for data analysis, including statistical modeling, machine learning, and data visualization.
• Collaborate with experimental biologists to integrate computational and experimental findings.
• Ph.D. in Statistics, Bioinformatics, Computational Biology, or a related quantitative field.
• Strong programming skills in languages such as R, Python and experience with relevant bioinformatics tools and databases.
• Prior experience in single cell genomics data, modeling of population dynamics or development of tools for the analysis of biological experiments
• Knowledge of statistical methods and machine learning techniques for data analysis.
• Excellent communication skills, both written and verbal.
• Ability to work independently and collaboratively in a team-oriented research environment.
To apply, please submit the following documents to: email@example.com or firstname.lastname@example.org
• Copies of your most significant publications or preprints if not accessible online (1-3)
• Cover letter describing your research interests and relevant experience
• Names and contact information for three professional references