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Postdoctoral Scholar-Research AssociateApply Administration Los Angeles, California
The University of Southern California (USC), founded in 1880, is located in the heart of downtown Los Angeles and is the largest private employer in the City of Los Angeles. USC is consistently ranked among the nation’s most prestigious universities, and the USC Leonard Davis School of Gerontology features one the world’s best degree and research programs in gerontology. The USC Davis School has an international reputation as a hub of aging research and, with additional strong programs throughout the university, leads the way in defining and advancing the field of gerontology.
One of our newest labs at the USC Leonard Davis School of Gerontology focuses on the study of how aging influences chromatin and gene regulation, and in return, how modulation of the epigenome and transcriptome can influence the aging process. To study this question, we use a unique combination of high-throughput 'omics' approaches, machine-learning, and experimental validation in vertebrate aging models (e.g. mouse, African turquoise killifish, etc.) and adult stem cells (e.g. neural stem cells). The goal of the lab is to discover novel target genes and pathways playing a fundamental role in healthy and pathological aging, while leveraging the power of big data to directing experimental interventions.
The laboratory is seeking a postdoctoral research scholar to join its research team, a highly skilled and motivated scientist to make leading contributions to cutting edge research in aging biology. This is a temporary, fixed-term position for the period of one year. It is renewable for a second year, based on performance and availability of funding.
This person will work closely with the PI and his collaborators. Extensive training will be available in all areas of this highly impactful project, with a strong view towards enhancing future career prospects for the successful candidate. As an employee of USC, the scholar will be a part of a world-class research university and a member of the Trojan Family, which is comprised of the faculty, students and staff who make the university what it is.
- Excellent writing skills geared toward writing scientific papers
- Passion for the scientific process
- Strong communication skills
- Ability to work well with a diverse research team
- Ability to work efficiently and independently
- Self-motivation and strong interest in aging research
- Experimental genomics (e.g. ChIP-seq, RNA-seq, ATAC-seq)
- Single cell approaches (e.g. 10x genomics, CyTOF)
- Stem cell biology experience
- Genomic data analysis techniques
- Basic programming skills (e.g. R, Perl/Python)
- Working knowledge of UNIX/Linux environment
Our ideal candidate will have training in experimental or computational biology and should be interested in becoming comfortable/involved with concepts in both research approaches in the long run. On the experimental end, previous expertise in experimental genomics (e.g. ChIP-seq, RNA-seq, ATAC-seq), single cell approaches and stem cell biology would be highly desirable. On the more computational end, knowledge of genomic analysis techniques (e.g. next-generation sequencing data processing, variant calling, etc.), biostatistics, and machine learning would be welcome. Programming skills in a statistical language (e.g. R) and/or a scripting language (e.g. Perl/Python), and a working knowledge of a unix environment would be a plus. Candidates should have, or will soon receive, a Ph.D. or equivalent diploma in molecular/cellular biology, computational biology, genetics, or a relevant subject area.Strong training and publication records, and must be able to learn and work independently, yet collaborate effectively with co-workers within the lab and the school.
The candidate must have a PhD by the time of employment. Salary is competitive and contingent upon experience.
*The University of Southern California strongly values diversity and is committed to equal opportunity in employment. Women and men, members of all racial and ethnic groups, individuals with disabilities, and veterans are encouraged to apply.
Minimum Education: Ph.D. or equivalent doctorate within previous five years
Minimum Experience: 0-1 year
Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.
REQ20045282 Posted Date: 05/30/2017 Apply