The Churchill Lab at The Jackson Laboratory is seeking a Postdoctoral Fellow in statistical genetics and computational biology. Our group is developing statistical design and analysis methods for large-scale genomic data, including proteomics, gene expression, and whole genome sequencing.Our approach combines statistical modeling with genetic analysis... [More]

Originally posted on 2017-10-19

The Lu Lab The Jackson Laboratory is currently seeking motivated and innovative scientists for academic postdoctoral positions at the cutting edge of computational systems biology. The Lu lab, in Bar Harbor, Maine, is focused on the development and application of computational modeling and bioinformatics methods to construct gene regulatory networks and predict network dynamics. [More]

Originally posted on 2017-10-16
2017-10-01  -  Research Scientist  -    -  

The Ouyang Lab at The Jackson Laboratory for Genomic Medicine is seeking a senior level Research Scientist. The incumbent will develop statistical/computational methods/tools for biological big data integration, analysis, and visualization, and apply them to human development and complex diseases/traits.In this role, you will have an excellent opportunity to make leading contributions to cutting edge research... [More]

Originally posted on 2017-10-01
2017-10-01  -  Software Engineer III  -    -  

A new position is available immediately for a Scientific Software Engineer III. This position reports to the manager of The Jackson Laboratory Computational Sciences Scientific Computing (CS-SC) team. This team is primarily responsible for developing software applications for scientific research programs.  [More]

Originally posted on 2017-10-01

The Palucka Lab at JAX-GM is currently seeking a motivated biostatistician interested in leveraging talents in statistics to support the work of the lab by ensuring that all experiments are designed optimally through systematic analysis of existing approaches and proposal of practical and pragmatic enhancements or alternatives as necessary.  [More]

Originally posted on 2017-09-24

The Jackson Laboratory for Genomic Medicine, based in Farmington, CT is seeking a Computational Scientist to join the Computational Sciences – Statistics & Analytics (CS-SA) group. This position offers opportunities to make leading contributions to cutting edge research and operations in disease genomics and translational research in collaboration with the faculty and the clients of The Jackson Laboratory. [More]

Originally posted on 2017-09-19
2017-07-21  -  Research Scientist – Li Lab  -    -  

Dr. Sheng Li’s lab at JAX-GM is seeking exceptional scientists who are interested in studying cancer epigenomics using large-scale genomics datasets. The Li Lab focuses on combining computational approaches and high throughput datasets to uncover novel mechanisms that contribute to drug resistance and cancer evolution. [More]

Originally posted on 2017-07-21
2017-07-15  -  Senior Computational Scientist  -    -  

A position is available immediately for a Senior Computational Scientist to join the lab of Dr. Charles Lee at the Jackson Laboratory for Genomic Medicine. The research focus of the lab is in the area of structural variation in the human genome and association with human phenotype and disease. [More]

Originally posted on 2017-07-15
2017-06-27  -  Associate Research Scientist  -    -  

The Carter Lab at The Jackson Laboratory is seeking an Associate Research Scientist in the genetics of Alzheimer’s disease. Our group is developing novel computational methods to derive biological models from large-scale genomic data. The strategies we pursue involve combining statistical genetics concepts such as epistasis and pleiotropy to understand how many genetic factors combine to control disease-related processes in neurodegeneration. [More]

Originally posted on 2017-06-27
2017-06-27  -  Bioinformatics Analyst II  -    -  

The Carter Lab at The Jackson Laboratory is seeking a Bioinformatics Analyst in computational genetics and systems biology. Our group is developing novel computational methods to derive biological models from large-scale genomic data. The strategies we pursue involve combining statistical genetics concepts such as epistasis and pleiotropy to understand how many genetic and environmental factors combine to control disease-related processes in animal models and human studies. [More]

Originally posted on 2017-06-27