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:
•Ph.D 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
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