Postdoctoral Fellow – Statistical Genetics – Genomics – Bioinformatics - Computational Genomics
The Pinto Lab at the Icahn School of Medicine at Mount Sinai is seeking talented and highly motivated computational genomics scientists to undertake a NIH-funded research project in the field of genetics and genomics of Autism and Epilepsy, including SNV/indel/CNV discovery from exome/whole-genome sequencing data in families, profiling of noncoding regulatory RNA, and integration with short and long-read RNA sequencing data. Candidates with a quantitative background and demonstrated experience with genomic data analysis are encouraged to apply.
The successful applicant will have opportunities to collaborate with a diverse group of experimental and computational biologists within the Psychiatric Genomics Division, the Institute for Genomics and Multiscale Biology and the Seaver Autism Center. S/he will also play an active role in using the latest technologies to disentangle the genetic basis of neurodevelomental disorders and their comorbidities.
High degree of independence, fast-learner, highly motivated, enthusiastic and with a strong work ethic.
· Ph.D. or equivalent doctorate in a quantitative field such as statistical genetics, genome informatics, bioinformatics, or computational biology.
· Excellent bioinformatic and programming skills (e.g. Perl, Python or C/C++), and statistical computing (e.g. R).
· Track record of scientific productivity and/or leadership.
· Research background in genomics is required.
How to apply
To apply, please e-mail a cover letter, CV, and a brief description of research experience and interests, along with contact information for 2-3 references to Dalila Pinto (firstname.lastname@example.org).
About our organization
The Pinto Laboratory is a member of the Departments of Psychiatry, and Genetics and Genomic Sciences, as well as the Institute for Genomics and Multiscale Biology, the Mindich Child Health & Development Institute, the Seaver Autism Center, and the Friedman Brain Institute at the Icahn School of Medicine at Mount Sinai.Education:
Ph.D. in computational genomics, computational biology, bioinformatics, genomics, or statistical genetics with a strong background in human genetics and excellent quantitative skills.
2 years in research environment
Computer and General Skills:
Advanced - MS word
Strong communication and writing skills.
This position requires demonstrated experience with UNIX, Python, C/C++ and R, and expertise in statistical interpretation and analysis of RNA-Seq data.