The Bekris Laboratory is principally motivated by the question of how genetics and epigenetics influence biomarkers and how we can exploit this knowledge to prevent or diagnose neurodegenerative disorders. Our team aims to develop novel biomarker tools that will ultimately enhance therapeutic strategies for Alzheimer’s disease and Alzheimer’s disease related dementias.
The successful candidate will become a part of the Cleveland research community that includes the collaborative environment of the newly created Cleveland Alzheimer’s Disease Research Center. The candidate will work with clinical dementia specialists, computational biologists, genomics researchers, and others in a unique and collaborative intellectual environment of neurodegenerative disorder investigators at one of the world’s leading institutions for medical innovation.
The Bekris Laboratory is seeking an enthusiastic and energetic post-doctoral trainee to join our collaborative research effort. Self-motivation and a strong interest in identifying and characterizing novel biomarkers for neurodegenerative disorders such as Alzheimer’s disease and Dementia with Lewy bodies, is essential. Candidate must have the ability to perform analytical reasoning to tease apart biological insights using data-driven approaches. This position requires a background in statistics and computer science with programming in a high-level language preferred (e.g., R) as well as previous experience with high-performance compute clusters and cloud computing platforms.
This position is designed to prepare post-doctoral trainees for research careers in computational and experimental genomics, epigenetics and biomarker discovery.
• Exhibit command of chosen research area methodology.
• Provide status reports to the Principal Investigator on project(s).
• Present findings at group meetings and national conferences, as appropriate.
• Draft presentations, manuscripts, and contribute to funding proposals.
• Lead and co-author scientific manuscripts in peer-reviewed journals.
• Contribute to laboratory maintenance as part of the team.
• Familiarity with genomic and epigenomic methodology and statistical approaches.
• Excellent analytic, critical thinking, quantitative skills including excellent English written and oral communication skills, and a track record of success in publications, presenting results, and representing research at meetings.
• Self-motivation and ability to take creative initiative, work independently, while learn new techniques.
• Collaborative and supportive team member.
• Strong organizational and laboratory skills, including the ability to keep detailed records, track samples and analysis pipelines.
The application should include a 1 page cover letter with a brief statement of interest, curriculum vitae, and contact information for three references. All application materials should be emailed to the primary investigator at email@example.com.
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