The Segrè laboratory in the Department of Ophthalmology and Ocular Genomics Institute at Massachusetts Eye and Ear (MEE), Harvard Medical School, affiliated with the Medical and Population Genetics Program at the Broad Institute of Harvard and MIT, is seeking a highly qualified and motivated Postdoctoral Fellow to work on innovative projects that combine single cell genomics, human genetics, and systems biology approaches to uncover novel causal mechanisms and pathogenic cell types for complex eye diseases, including glaucoma and age-related macular degeneration, with the ultimate goal of identifying new preventative and therapeutic targets for eye disease. To learn more about the lab please visit: www.asegrelab.org/.
The successful candidate should have a PhD in computational biology or genomics, biostatistics, computer science, or a related quantitative field, strong programming skills, a solid background in statistics, and experience with large-scale data analysis, and should be excited to contribute to advancing the science and medicine of eye disease. As part of a collaborative Human Eye Cell Atlas effort supported by a Chan Zuckerburg Initiative Seed Networks grant, we are interested in developing and applying novel computational and statistical methods for detecting cell type-specific genetic regulation of gene expression in a range of eye tissues using single nucleus RNA-seq and whole genome sequencing, and integrating these results with genome-wide association studies of common retina-related diseases to detect cell type-specific disease mechanisms. The postdoctoral fellow will have the opportunity to develop his or her own research projects and interests within this research area, and to present one’s work at local, national, and international meetings.
• Ph.D. in computational biology, computer science, (bio)statistics, statistical genetics, mathematics, or a related quantitative discipline required.
• Strong programming skills and in-depth experience with several programming languages required, e.g. Python, R, C++; experience with Cloud Computing a plus.
• Experience with Unix/Linux environments, including shell scripting, required.
• Strong background in statistics, computational genomics, and/or machine learning desired.
• Research experience with large-scale data analysis, in particular -omics data such as next-generation sequencing, and algorithm development highly desirable.
• Motivation to contribute to genomic research of eye disease is essential.
• Demonstrates critical thinking, rigorous work, and ability to meet deadlines.
• Expected to be quick learner of new analytical approaches and capable of developing new computational methods for solving complex problems.
• Excellent publication record in peer-reviewed journals.
• Strong personal skills, and excellent organization and verbal and written communication skills.
• Ability to work effectively both independently and collaboratively in a fast-paced, academic environment and evolving field.
If interested, please send your CV, a cover letter describing your previous research experience and future research interests, and contact information for 3 references to Dr. Ayellet Segrè: ayellet_segre@meei.harvard.edu.