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Come work with us on dementia genomics, looking for an early career data analyst!

 

  • Position: Junior-level Data Scientist, yearly contract in Washington DC area

  • Laboratory name and structure: The Neurodegenerative Diseases Research Unit (NDRU) is part of the National Institute of Neurological Disorders and Stroke at the National Institutes of Health. NDRU is integrated in the Laboratory of Neurogenetics (LNG), a leading neurogenomics laboratory in the country. Principal Investigator: Sonja Scholz, MD.

  • Laboratory mission: The mission of the lab is to apply modern genomic technologies to neurodegenerative diseases to identify and understand the genetic underpinnings of these conditions and their molecular relationships to each other.

  • Diseases that we study: Most of our research is focused on parkinsonism and dementia syndromes, including Lewy body dementia, multiple system atrophy, Parkinson’s disease, and frontotemporal dementia. These are age-related neurodegenerative diseases that are still poorly understood. A genetic contribution to these devastating neurological conditions is increasingly appreciated, but the genetic underpinnings are largely unknown.

  • Scope of research: The main analytical techniques include: large-scale genome sequencing studies, genome-wide association studies, pathway analysis, gene burden analysis, copy number analysis, repeat expansion tracking, machine learning and genotype-phenotype correlation studies.

  • Ideal candidate: The data scientist (graduate to post-doctoral level) should have some training in bioinformatics. S/he should have a working understanding of population scale genetics, statistical genetics and the interpretation of genomic data. The applicant will obtain training in commonly used analytical techniques, including - but are not limited to - genome-wide association testing, gene burden testing, machine learning applications, cross-phenotype genetic analyses, data visualization and an interest in multi-omic data integration. A basic familiarity with computer clusters and cloud-based computing is ideal. Excellent written and oral communication skills and the ability to work well in teams are required. The incumbent will have a major role in assisting in manuscript preparation and bioinformatic training of other team members, providing technical assistance, and maintaining research continuity within the laboratory.

  • Interested candidates should provide the following documents: cover letter, CV and contact info for up to three relevant references.

  • If interested email: info@datatecnica.com

 

Mike Nalls