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Postdoctoral Associate

Salary

$0.06559000000000001k - $0.07557k

Min Experience

0 years

Location

Bar Harbor, ME

JobType

full-time

About the job

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About the role

The Tewhey Lab at The Jackson Laboratory in Bar Harbor, Maine is seeking a Postdoctoral Associate to join our team of scientists working to understand the precise genetic mechanisms underlying human complex traits and the impact genetic variation has on gene regulatory function. Our group develops and applies novel high-throughput genetic techniques (e.g. MPRA and CRISPR based screens) to comprehensively characterize non-coding regions of the genome and leverages these datasets to construct computational models to predict the activity of cis-regulatory elements across cell types and states. We are looking for highly motivated and talented individuals with experimental or computational backgrounds to join our efforts in functional genomics. Opportunities are available to contribute to ongoing projects that study how genetic variation impacts cis-regulatory elements using both cellular and in vivo models, with a focus on immune, metabolic and aging-related phenotypes. We also welcome applicants interested in applying machine learning approaches to model regulatory activity and in developing synthetic gene regulatory elements for therapeutic and biomedical purposes. Candidates interested in applying our experimental approaches to their disease of interest are also encouraged to apply.

About the company

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community.

Skills

Python
Machine learning
R
Bash
Genetics
Perl
Laboratory experience