The Segrè lab in the Department of Ophthalmology and Ocular Genomic Institute at Massachusetts Eye and Ear Infirmary (MEEI), a teaching hospital of Harvard Medical School, develops and applies new computational and statistical methods that integrate large-scale human genetic studies with functional genomics and other biological data, to identify new causal genes and regulatory mechanisms of common eye diseases, including age-related macular degeneration, glaucoma and diabetic retinopathy.
We are seeking a rigorous and highly motivated bioinformatician or computational biologist with a strong background in computer science, statistics, or a related quantitative field, that is interested in developing and applying computational tools and pipelines for analyzing large-scale human genetics and functional genomics data (e.g., whole genome sequencing, epigenetic, and RNA-sequencing data) or other -omics data, with the goal of gaining new biological insights on the causes of complex eye diseases and proposing new prevention and treatment avenues. The ideal candidate should have strong programming skills and experience with large-scale data analysis, such as next-generation sequencing, and be excited to contribute to advancing science and medicine of eye disease.
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 [at] meei.harvard.edu
- Develop and run computational pipelines that perform preprocessing and quality control of genomic data (whole genome and exome sequencing, RNA-sequencing), using existing and custom-built tools on a local high-performance computing (HPC) cluster or with cloud computing.
- Develop novel bioinformatics software tools or enhance methods developed in our lab that integrate genome-wide association and sequencing studies with expression quantitative trait loci (eQTLs), epigenetic data and RNA-seq data to identify causal regulatory variants and genes for complex eye diseases.
- Develop and maintain a database of biological pathways or functional modules relevant to eye disease, and further develop pathway-based methods for analyzing genome-wide association studies.
- Contribute statistical and computational analyses to research projects, centered on identifying the genetic and biological causes of eye disease in relevant tissues or cell types.
- Create tools for visualizing and interpreting results.
- Critically review, analyze, and communicate results to our team and collaborators.
- Support ongoing projects, as well as work on independent projects, and contribute to publications.