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访学招聘|克利夫兰诊所基因组学、生物学方向

克利夫兰医学中心是世界最著名医疗机构之一,机构集合医疗、研究和教育三位一体,提供专业医疗和最新治疗方案的非营利性机构。克利夫兰医学中心始建于1921年2月28日 ,隶属于俄亥俄州一家非营利性公司——克利夫兰临床基金会,并由其经营。

想要出国访问学习的小伙伴看过来啦,克利夫兰医学中心在基因组学、计算机科学、数学、统计学、生物信息学或其他定量生物学方向正在招收访问学者、博士后

Data Science Postdoctoral Fellow

Genomic Medicine Institute (GMI), Cleveland Clinic

Cleveland, OH, United States

Posted about 8 hours agoExpires on November 23, 2020

The Mata research group (https://www.lerner.ccf.org/gmi/mata/) focuses on understanding the genetic component of neurological disorders, in particular Parkinson’s disease (PD), Parkinson’s Disease Dementia (PDD) and Dementia with Lewy Bodies (DLB). 

The large patient and genetic data resource already available and the compelling evidence for the role of genetics in the development of PD have motivated us to launch a new collaborative analysis effort to decipher the disease etiology in Latino patients and to guide future therapeutic development and diagnostic tools. 

Dr. Mata is a world leader in genetic Parkinson research in the Latino population, and is looking for an exceptional candidate to join his PD genetics research program.

The successful candidate will join an interdisciplinary team of computational biologists, bioinformatics analysts (https://sites.google.com/view/lalresearchgroup/) and excellent clinicians who are working together to identify rare and common genetic variants that cause or confer risk to neurological disorders. 

The Mata lab is also part of a large collaborative worldwide effort in PD genetics (https://parkinsonsroadmap.org/gp2/) so the successful candidate will play an active role in this exciting project and will have ample opportunities to interact and learn from the best in the field. 

The responsibilities will include processing and quality control of genetic data sets, as well as statistical analysis of joint analysis of genetic variation and clinical phenotype data.

Key Responsibilities:

•Processing and quality control of large-scale DNA sequencing and genotyping data sets

•Statistical analysis and methods development for the joint analysis of DNA variation and clinical phenotype data

•Organizing, manipulating and integrating new datasets across different formats and robust synchronization with existing datasets and databases

•Participating in a team to develop innovative analytical methods to enable collaborators to interpret results and design follow-up research

•Providing support to clinicians and biological researchers to develop and implement data-analyses

•Lead and contribute to manuscript preparation as well as internal and external project-team reports.

•Actively participate and present in project team meetings.

Ideal candidate should have:

•In genomics, computer science, mathematics, statistics, bioinformatics, or other quantitative biology.

•Familiarity with next-generation sequencing and/or genotyping data analysis tools strongly preferred.

•Demonstrated proficiency in at least one of the following technologies: R, Unix, Perl, Python, Java, Matlab, and experience in working in HPC and/or cloud-based environment.

•Skill and experience with statistical analysis.

•1+ years of experience with biological datasets.

•Demonstrated capability as highly organized, a creative problem-solver, detail-oriented, self-motivated, and able to work independently as well as within cross-functional teams; experience working in an interdisciplinary team with laboratory scientists and clinicians is a plus.

•Ability to adapt to rapidly changing and high-demand environments.

•Exceptional communication skills (oral and written).

Interested applicants should send a cover letter, CV and 2-3 reference letters to Dr Ignacio Mata at matai@ccf.org