Description
MILITARY VETERANS
The Department of Population and Public Health Sciences at the Keck School of Medicine seeks a passionate and committed Postdoctoral Scholar Research Associate to join a dynamic, interdisciplinary team engaged in translational environmental health research. Our NIH-funded projects span environmental and molecular epidemiology, computational toxicology employing artificial intelligence, experimental studies (in vitro and in vivo), and advanced multiomics data science. We are looking for candidates with expertise or interest in environmental health, biostatistics, and data science, especially as applied to environmental chemical exposures, type 2 diabetes, kidney disease, liver cancer, and renal cancer. The ideal candidate will be open-minded, eager to learn, and enthusiastic about engaging in our multidisciplinary research efforts. Key responsibilities for this role include: Initiating, planning, and overseeing research projects Leading the analysis of complex multiomics data, including single-cell and spatial omics, using R or Python; experience with these datasets is helpful but not required Preparing statistical reports and presentations Presenting findings at regional or national scientific meetings Mentoring or overseeing biostatisticians and graduate students Contributing to the writing of scientific manuscripts and grant proposals Collaborating with team members on cross-disciplinary research projects. Keeping abreast of the latest research methodologies and participating in relevant training sessions and conferences Minimum qualifications required for this position include: A doctoral degree (Ph.D., MD, DO, DVM, PharmD) in Environmental Health, Epidemiology, Biostatistics, or closely related fields. Demonstrated ability to manage multiple projects simultaneously. Strong scientific writing and oral communication skills. Strong analytical and problem-solving skills. Intermediate to advanced coding skills in R or Python. The ability to collaborate effectively with a diverse team. Preferred qualifications include: Experience in analyzing large biological datasets (e.g., scRNAseq, metabolomics, proteomics) Proficiency in collaborative coding environments (e.g., git/GitHub) This role presents significant opportunities for professional development and growth. Given the interdisciplinary nature of our work, we encourage applications from candidates with a broad range of academic backgrounds. The annual base salary range for this position is $62,400 – $70,000. 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. JOB QUALIFICATIONS:Minimum Education:Ph.D. or equivalent doctorate within previous five yearsMinimum Experience:0-1 yearMinimum Field of Expertise:Directly related education in research specialization with advanced knowledge ofequipment, procedures and analysis methods.Preferred Field of Expertise:Publications in peer-reviewed journals in the same or related field.Skills: Other:AnalysisAssessment/evaluationCommunication — written and oral skillsConceptualization and designOrganizationPlanningProblem identification and resolutionProject managementResearchStatistical analysisSkills: Machine/Equipment:CalculatorComputer network (department or school)Computer network (university)Computer peripheral equipmentFaxPersonal computerPhotocopierSupervises: Level:May oversee student, temporary and/or casual workers.Comments:A copy of the doctoral diploma or other certification that indicates that the terminal degreehas been completed satisfactorily is required. If the doctoral candidate has not yet obtaineda degree, he/she should provide evidence that a thesis has been approved together with adocumented indication of the expected date of formal graduation. It is the responsibility ofthe faculty mentor to verify this documentation. The documentation is to be filed with theOffice of Postdoctoral Affairs.