Postdoc Positions: Areas Of Genomics, Computational Biology & Data Science

The Lal research groups focusses on translational genetic research and bioinformatics. Research interests involve developing a comprehensive understanding of how alterations in the genome contribute to disease.

The lab pursues questions such as, “Why did the patient develop this disease?” “Will the patient respond to this medication?” “Can we predict the disease prognosis?” “What is the underlying mechanism?” The team is young, however, has published ~90 publications in the last six years, several in prestigious journals such as PNAS, Nature Genetics, Lancet Neurology, Annals of Neurology, Bioinformatics, Genome Medicine, Nuclei Acid Research, and Brain. A full list of recent studies can be found in pubmed using ‘Dennis Lal’ as search term.

The candidates, will be integrated within the Genomic Medicine Institute of the Cleveland Clinic to perform translational genetics research. The position will be at the Lerner Research Institute of the Cleveland Clinic. The team will closely collaborate with other data scientists, neuroscientists as well as epileptologists and clinical researchers from related. Besides local collaborations, the team will interact on a daily to weekly basis with the Lal research groups at the Broad Institute of MIT and Harvard as well as the Cologne Center for Genomics in Germany. Specifically, we have three open postdoc positions:

• Postdoc position in genomics: Whole genome or whole exome buden analysis, polygenic risk scoring, GWAS, somatic variant analyses using genetic data from our own and globally collected epilepsy patient cohorts in collaboration with international consortia and population biobanks.
• Postdoc position in structural biology: Developing novel methods for missense variant interpretation using genetic and molecular data in conjunction with in 3D protein structures to perform homology modeling and molecular dynamics anlysis at scale.
• Postdoc position in data science: Developing of user friendly web applications that aggregate or host genetic, clinical, biological data and use datascience approaches to identify novel insights and develop prediction models.

WHAT WE OFFER:

• The chance to have a real impact on the advancement of science and medicine.
• Great mentoring.
• A good working enviromennt in a fun team.

Interested applicants should submit a CV, cover letter, and contact information for 3 references to Dr. Dennis Lal via email: lald@ccf.org.