Description
The Center for Translational Exposomics Research on Environmental Health at the Department of Population and Public Health Sciences is in search of a dependable, flexible, and detail-oriented individual to join a dynamic research team at the University of Southern California to participate on multiple projects aimed at investigating the exposome, multi-omics, and health outcomes across the lifespan. Employment involves: (1) evaluating and implementing procedures for data management and quality control; (2) developing input methodology and data file structure; (3) performing data analysis using statistical methods and reviewing results for anomalies and making corrections if necessary; (3) assisting in interpretation of results and preparing tables or graphs for inclusion in reports and research papers; and (4) assisting Principal Investigators in writing scholarly empirical papers for publication and presentation. The ideal candidate will have superb problem-solving skills and prior experience in a research environment and on working with chemical exposures including PFAS and multi-center study designs. Responsibilities: Collaborate with researchers to design and develop statistical analysis plans for research projects Conduct statistical analyses using statistical software including R Interpret and communicate statistical results to stakeholders, including researchers, clinicians, and funding agencies Develop and implement quality control procedures to ensure accuracy and reliability of data Prepare and review statistical reports and presentations Aid in the development of manuscripts and extramural grant proposals Participate in study design and data management Collaborate with other team members on interdisciplinary research projects Stay up to date with current statistical methods and attend relevant training or conferences May supervise and mentor junior biostatisticians, postdocs, and graduate students Requirements: Master’s degree in Biostatistics, Statistics, or related field Minimum of 1 years of relevant experience in biostatistics, statistics, computational biology, computer science or related disciplines Strong statistical analysis skills; fluency in R is required Experience with large and complex datasets Excellent written and oral communication skills Ability to work independently and as part of a team Preferred Qualifications: Experience analyzing large biological datasets (e.g. metabolomics, microRNA, etc.) Experience developing code in a team environment using git/GitHub The annual base salary range for this position is $75,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidates work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Minimum Education: Master’s degree Addtional Education Requirements Combined experience/education as substitute for minimum education Minimum Experience: 2 years Minimum Skills: Biometry, Biostatistics and/or Statistics experience. Mainframe computer and PC experience Experience with SAS, Epilog, BMDP, GLIM and/or SPSS. Preferred Experience: 3 years