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Biostatistician I

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 of 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 Leonard Davis School of Gerontology is seeking a Biostatistician I to join its team!

This person will join the Benayoun lab, working on the molecular basis of aging and age-related diseases using ‘omic’ data analysis to understand new features of aging regulation. Specifically, the lab focuses on the study of how aging influences gene regulation, and in return, how modulation of the gene regulation processes can influence aging. We are especially interested in how biological sex influences these processes. To study this question, we use a unique combination of high-throughput 'omics' approaches, machine-learning, and experimental validation in primary cell cultures and vertebrate aging models (e.g. mouse, African turquoise killifish, etc.). 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.

We are seeking a skilled and motivated scientist to join the teams as a Biostatistician I and help make leading contributions to aging research. This is a unique opportunity for a computational scientist to work closely with experimental biologists, analyze cutting-edge data (e.g. ATAC-seq, RNA-seq, single-cell data, etc.), and help develop new frameworks for data integration.

The Biostatistician I will be working with genomic data from model organisms (i.e. mouse, killifish, human cells), and conduct analyses under the supervision and with the guidance of the PIs. They will make original, scientific contributions to projects in the laboratory. This includes analyzing pathways influencing aging in a sex-dependent manner using computational biology approaches. This is an opportunity for a reliable and self-motivated person to help advance cutting-edge aging research. Primary responsibilities are to conduct genomic data analyses and compile the results of such analyses for presentations, manuscripts, and grants. Other duties include assisting lab members with basic data analysis and helping to train them in new or established lab analytical pipelines.

Job responsibilities will include but are not limited to:

  • Performing data analysis for a major portion of the research project. Maintain detailed records of analyses and outcomes.

  • Writing the programming code to accomplish the data analysis.

  • Interpret and analyze results, often where few guidelines exist. Based on prior results, contribute to the development of new pipelines and procedures or adaptation of existing ones.

  • Establish new pipelines and/or use basic bioinformatics pipelines to process and analyze laboratory datasets.

  • Perform ongoing literature review to remain current with new procedures and related research; present findings to the lab workgroup.

  • Contribute substantively to the preparation of papers for publication, especially in the results section. May contribute to the publication of findings and present ongoing work and findings to colleagues at academic conferences.

  • Supervise (either formally or informally) staff or students as needed, including oversight and instruction on techniques, as well as consultation on project work. Help train other lab members by providing input on computational biology analysis.

Our ideal candidate will hold a Ph.D. or a Master’s degree in computer science, computational biology, biostatistics, or a related field. They will have experience with basic data analysis techniques, working knowledge of statistical software (e.g. R), and scripting software (e.g. perl/python). This position requires strong organizational skills, and the ability to interact with the PIs and other lab members on a daily basis.

Benefits include a competitive salary, a rich array of USC benefits including healthcare (including dental and vision), 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.

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

Minimum Education: Master's degree, Combined experience/education as substitute for minimum education Minimum Experience: 1 year, Combined education/experience as substitute for minimum experience Minimum Field of Expertise: Experience in Biostatistics , Statistics or related field . Experience with SAS, R or STATA.

REQ20093864 Posted Date: 10/13/2020

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