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"As provost, I know that our academic excellence depends on the contributions of all our faculty. Our faculty advance knowledge through our research, teach our talented students, and provide excellent health care to our patients. USC seeks to attract the best and brightest faculty, and we provide a collegial academic environment and employment conditions in which they can flourish and achieve academic success." Michael Quick, Provost and Senior Vice President for Academic Affairs.

Research Assistant Professor (Bioinformatician)

Research 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.

The USC Davis School of Gerontology is seeking a Bioinformatician to join its team! This is an opportunity for a reliable and self-motivated person to participate in cutting-edge aging research and help enhance it in the post-genomic era.

Primary responsibilities are to conduct research, design experiments, as well as programming code to accomplish genomic and statistical analyses. The Bioinformatician will also be responsible for establishing the end points for pilot studies, guiding the development of genomic datasets, and analyzing these datasets. This includes data sets from ChIP-seq, RNA-seq, ribosome profiling, and ATAC-seq experiments from a range of organisms, as well as purified cells. The person will be involved in interacting directly with the other research teams in the USC Davis School of Gerontology and external collaborators to establish project goals, which the team can efficiently execute. Literature searches in particular program areas will be required to help guide project level goals and educate the project and team. As projects move from pilot studies to diagnostic development projects, this person will oversee the transition into development.

Key Job Responsibilities

  • Supervise and mentor a small team of data analysts and model builders who develop cutting edge statistical methods for “big data” biomarker discovery and diagnostic predictions
  • Operate a “core-like” service-based bioinformatic support service for scientists at the school of gerontology
  • Provide bioinformatics, biostatistical/epidemiological input for the design of new studies, and create appropriate analysis plans
  • Provide direction to all stakeholders on suitable risk/benefit trade-offs and promote appropriate creativity during the different phases of discovery, verification, development of biomarkers
  • Acquire specific knowledge through literature, discussions with key opinion leaders, and meetings; distill that information down for the project and informatics teams
  • Provide support for academic collaborations with key opinion leaders, including writing study design and statistical analysis plan sections for grant proposals
  • Provide study designs and guidance for quality control and development teams
  • Assist in statistical/epidemiological analysis of clinical collaboration and development projects

Desired qualifications:

Our ideal candidate will possess a PhD, experience in Biostatistics, Bioinformatics or a related field.  Experience with SAS, R or STATA. Successful completion of a Postdoctoral appointment. Proficiency in large-scale genomic data analysis and a good understanding of biological systems are required. Experience in programming and in statistical analysis is essential. Excellent interpersonal skills and the ability to interact effectively with members of research teams are essential to the success of the individual in this position. S/he will also possess experience in applying and implementing bioinformatics and statistical tools to analyze large datasets.

Benefits include a competitive salary, a rich array of USC benefits including healthcare (including dental and vision), 403(b), tuition reimbursement, national holidays, paid vacation and more. This is a full-time salaried position that will require substantial commitment and flexibility.

USC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC will consider for employment all qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring ordinance. We provide reasonable accommodations to applicants and employees with disabilities.

If you are interested, please submit your fully completed application. Please include a cover letter and resume with references. Thank you for your interest!

REQ20051017 Posted Date: 09/20/2017

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