We are seeking a highly motivated and creative postdoctoral fellow to join the Segrè labat Massachusetts Eye and Ear, Harvard Medical School, interested in developing and applying computational methods that integrate human genetics with single cell genomicsto uncover causal mechanisms and pathogenic cell types of complex eye diseases. The Segrè lab is part of the Ocular Genomic Institute and the Department of Ophthalmology at Massachusetts Eye and Ear (MEE) and is affiliated with the Broad Institute of Harvard and MIT. MEE is a teaching hospital of Harvard Medical School and is an international leader for treatment and research in both Ophthalmology and Otolaryngology. The Segrè lab develops novel statistical and computational methods that integrate genome-wide association and sequencing studies with functional genomics (e.g., expression quantitative trait loci or eQTLs, single cell expression, and epigenetic) data from relevant tissues and cell types, to identify new causal genes and regulatory mechanisms of common eye diseases, including glaucoma, age-related macular degeneration, and diabetic retinopathy, with the ultimate goal of proposing new preventative and therapeutic targets for eye disease. To learn more about the lab please visit: https://segrelab.meei.harvard.edu/.
The successful candidate should have a strong background in statistics, statistical genetics, computational genomics, bioinformatics, mathematics, or a related quantitative field, strong programming skills, and be excited to contribute to advancing science and medicine of complex eye diseases. Research projects will involve developing statistical and computational methods for analyzing single cell RNA-seq of human eye tissues and whole genome sequencing with genome-wide association studies (GWAS) data to detect cell type specific biological processes and genetic regulation associated with complex eye disease risk. The project will be part of a collaborative effort aimed at generating a cell atlas of the human eye: https://chanzuckerberg.com/science/programs-resources/humancellatlas/seednetworks/cell-atlas-of-the-human-eye-from-birth-to-old-age/. The postdoctoral fellow will have the opportunity to develop his or her own research projects and interests within this research area, and to present ones work at local, national, and international meetings.
Develop new statistical and computational methods that integrate single cell RNA-sequencing and whole genome sequencing (WGS) data to identify cell type-specific allele specific expression in a range of eye tissues.
Integrate single cell expression and genetic regulation data with genome-wide association data to identify novel regulatory mechanisms, genes, and pathways that affect complex eye diseases, and propose pathogenic cell types.
There will be the opportunity to develop one’s own research project and interests within this research area, using various techniques including regression models, machine learning, and bayesian approaches.
Critically review, analyze, and communicate results to our team and collaborators.
Summarize work for publication.
Present work at local, national and international meetings.
REQUIRED EDUCATION AND EXPERIENCE:
Ph.D. in biostatistics, statistical genetics, human genetics, computational genomics, bioinformatics, mathematics, computer science, or a related quantitative discipline required.
Strong programming skills and in-depth experience with several programming languages required, e.g., Python, R, Matlab, C++.
Experience with Unix/Linux environments required (including shell scripting).
Experience with large-scale data analysis, algorithm development, and statistics required; work with next-generation sequencing, single cell RNA-sequencing, GWAS, or other -omics data preferred.
Research experience and knowledge in statistical genetics, regression models, and/or machine learning desired.
Demonstrate critical thinking and rigorous work.
Good publication record in peer-reviewed journals.
Strong personal skills, and excellent verbal and written communication and presentation skills.
Ability to work effectively both independently and collaboratively in a fast-paced, academic environment and evolving field.
Telecommuting is allowed.
About Massachusetts Eye and Ear, Harvard Medical School
Massachusetts Eye and Ear is an affirmative action/equal opportunity employer. MEE is a teaching hospital of Harvard Medical School and is an international leader for treatment and research in both Ophthalmology and Otolaryngology. The Segrè lab is part of the Ocular Genomic Institute and the Department of Ophthalmology at Massachusetts Eye and Ear (MEE) and works on integrative computational and statistical analyses of human genetics and functional genomics to uncover causal mechanisms of common eye diseases.