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BACKGROUND

We are seeking a highly motivated and creative postdoctoral fellow to join the Segrè lab interested in developing and applying methods for single cell genomics and integrative analysis with human genetics to uncover key 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) 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, mathematics, computational genomics, bioinformatics, 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 data and integration with genome-wide association studies (GWAS) to detect gene expression and genetic regulation associated with different ocular cell types and complex eye diseases. The project will be part of a multi-lab collaboration aimed at generating a cell atlas of the human eye from childhood to old age: 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.

RESPONSIBILITIES

Perform preprocessing, quality control, imputation, and phasing of whole genome sequencing (WGS) data using available and custom-built tools.
Develop new statistical and computational methods that integrate single cell RNA-sequencing and WGS data to detect allele specific expression at the cell type level.
Develop and apply methods that integrate single cell and other functional genomics data (e.g., eQTLs, epigenetics) with GWAS to identify key regulatory mechanisms, genes, and pathways that affect complex eye disease risk, and to propose the underlying pathogenic cell types.
Organize all scripts in a publicly available repository (e.g., github) with clear documentation.
Critically review, analyze, and communicate results to collaborators.
Summarize work for publications.

REQUIREMENTS

Required Education & Experience:

Ph.D. in (bio)statistics, 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.

WORKING ENVIRONMENT

The Segrè lab is located in the main hospital building of Mass Eye and Ear (MEE), 243 Charles Street, in a standard research and office work space that is part of Ocular Genomics Institute at MEE. The candidate will work among a team of other computational biologists and computer scientists in the Segrè Lab and the Bioinformatics Center of the Ocular Genomics Institute, and will be part of a larger multidisciplinary research environment, which includes geneticists, clinical scientists, and experimental biologists. The candidate will have the opportunity to interact with colleagues at other universities in the fields of human genetics, single cell genomics, and functional genomics, and with the Medical and Population Genetics community at the Broad Institute of Harvard and MIT, with whom our lab is affiliated.

COMPENSATION

A competitive salary will be provided commensurate with experience, along with health and other benefits.

HOW TO APPLY

Interested candidates should send their CV, a cover letter describing previous research experience and research interests, and contact information for 3 references to: Dr. Ayellet Segrè: ayellet_segre [at] meei [dot] Harvard [dot] edu.

DEADLINE

Applications will be reviewed until position is filled.

POLICY

Massachusetts Eye and Ear is an affirmative action/equal opportunity employer.

Discussion forums: Opportunity: Postdoctoral Fellow in single cell genomics and human genetics of complex eye disease @ Massachusetts Eye and Ear, Harvard Medical School -- Boston, MA (US)

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