Are you an expert in neurodegeneration, with a passion for research that will have an impact on curing disease? We seek a talented post-doc to participate in an unprecedented study of the neurodegenerative disease ALS. Working with researchers at clinical and academic institutions across the United States, we are gathering data on approximately 1,000 ALS patients and controls. Induced pluripotent stem cell (iPSC) lines are being derived from each individual and these are being used to generate motor neurons for a wide range of omic studies. Our collaboration seeks to identify different subtypes of the disease, identify correlations between molecular pathways and clinical symptoms and propose therapeutic strategies.
The successful applicant will be responsible for supervising generation of epigenomic data from these patient-derived iPSC lines. She or he will work closely with our collaborators to coordinate the study. In addition, the individual will work closely with our in-house computational biology team, which is integrating omic and clinical data. The successful applicant will take a leading role in deriving hypotheses from the computational analyses, and will design and carry-out follow up experiments, using the iPSC lines and post-mortem tissue.
Previous experience with epigenetic methods and knowledge of neurobiology are essential, as are excellent organizational and communications skills.
The Fraenkel Laboratory at the Massachusetts Institute of Technology develops computational and experimental approaches to search for new therapeutic strategies for diseases. New experimental methods make it possible to measure cellular changes across the genome and proteome. These technologies include genome-wide measurements of transcription, of protein-DNA interactions (ChIP-Seq, ATAC-Seq), of ...genetic interactions, of protein modifications and metabolites. Each data source provides a very narrow view of the cellular changes. However, by computationally integrating these data we can reconstruct signaling pathways and identify previously unrecognized regulatory mechanisms that contribute to the etiology of disease and may provide new approaches for treatment.
Many projects focus on neurodegenerative diseases, including Huntington's and ALS.