University of Arizona
Postdoctoral Research Associate I - Microbial Ecology & Multi-Omics (UPDATED)
University of Arizona, Tucson, Arizona, United States, 85775
Postdoctoral Research Associate I - Microbial Ecology & Multi-Omics
The Department of Environmental Sciences at the University of Arizona is seeking a highly motivated Postdoctoral Microbial Ecologist with expertise in tracking microbial metabolism and activity across diverse complex environments using multi-omics approaches. The successful candidate will contribute to cutting-edge research investigating microbial communities in various systems, including but not limited to soil, plant-associated environments, and animal tissues (such as bacterial infections in pig tissue). This role requires a deep understanding of microbial metabolism in complex biological systems, proficiency in integrating and analyzing multi-omics data. This is a year-to-year appointment, contingent upon funding and performance. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! Major Duties/Responsibilities: - Design, conduct, analyze, and interpret laboratory and field-based research related to microbial metabolism in complex environments. - Perform research utilizing a full range of state-of-the-art equipment and facilities for microbial metabolism studies, including but not limited to: Metabolite, DNA and RNA extraction. Data processing. Integration of metabolomics data with other multi-omics and genomics data. - Operate in a professional environment with excellent technical support to maximize research outputs and efficiency. - Lead and contribute to the development of scientific manuscripts describing the results of research team studies. - Prepare and deliver presentations on research findings at scientific conferences and meetings. - Collaborate with team members to integrate multi-omics data for comprehensive analysis of microbial functions and interactions in complex systems. - Contribute to the development of new experimental protocols and analytical methods as needed to advance the lab's research goals. - Maintain accurate and detailed records of experiments and results, ensuring reproducibility and data integrity. - Stay current with the latest developments in microbial ecology, metabolism, and multi-omics technologies through literature review and professional development activities. Knowledge, Skills, and Abilities: Demonstrated ability to conduct interdisciplinary, integrative, and creative research in microbial ecology, as evidenced by: Successful contributions to large team projects. Individually led scientific publications. Strong collaborative skills and the ability to work effectively in interdisciplinary environments. Proficiency in using a broad suite of software and tools for microbial and mutli-omics dataset analysis. Advanced programming and scripting skills in one or more of the following: R - Python. Other relevant computational languages. Ability to develop and apply customized computational approaches for complex data analysis. Excellent data integration skills, particularly in combining multi-omics datasets. Strong analytical and problem-solving skills to address complex biological questions. Effective communication skills to present complex scientific findings to diverse audiences. Adaptability and willingness to learn new techniques and approaches as the field evolves. Familiarity with current trends and advancements in microbial ecology and metabolism research. Proficiency in field and laboratory methods for characterizing soil biogeochemical cycling processes. Minimum Qualifications: Ph.D. degree in microbiology, ecology, biochemistry, molecular biology, or a closely related field. Experience with modern molecular ecology methods, including: Metabolomics. Metagenome analyses. Quantitative PCR. rRNA community sequence analyses. Proven experience in applying informatics approaches to: Metabolite studies. Amplicon microbiome analyses. Shotgun metagenomic studies. Strong track record of primary contributions to peer-reviewed publications, demonstrating excellent research and writing skills. Experience in integrating and interpreting multi-omics data sets to derive biological insights.
The Department of Environmental Sciences at the University of Arizona is seeking a highly motivated Postdoctoral Microbial Ecologist with expertise in tracking microbial metabolism and activity across diverse complex environments using multi-omics approaches. The successful candidate will contribute to cutting-edge research investigating microbial communities in various systems, including but not limited to soil, plant-associated environments, and animal tissues (such as bacterial infections in pig tissue). This role requires a deep understanding of microbial metabolism in complex biological systems, proficiency in integrating and analyzing multi-omics data. This is a year-to-year appointment, contingent upon funding and performance. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! Major Duties/Responsibilities: - Design, conduct, analyze, and interpret laboratory and field-based research related to microbial metabolism in complex environments. - Perform research utilizing a full range of state-of-the-art equipment and facilities for microbial metabolism studies, including but not limited to: Metabolite, DNA and RNA extraction. Data processing. Integration of metabolomics data with other multi-omics and genomics data. - Operate in a professional environment with excellent technical support to maximize research outputs and efficiency. - Lead and contribute to the development of scientific manuscripts describing the results of research team studies. - Prepare and deliver presentations on research findings at scientific conferences and meetings. - Collaborate with team members to integrate multi-omics data for comprehensive analysis of microbial functions and interactions in complex systems. - Contribute to the development of new experimental protocols and analytical methods as needed to advance the lab's research goals. - Maintain accurate and detailed records of experiments and results, ensuring reproducibility and data integrity. - Stay current with the latest developments in microbial ecology, metabolism, and multi-omics technologies through literature review and professional development activities. Knowledge, Skills, and Abilities: Demonstrated ability to conduct interdisciplinary, integrative, and creative research in microbial ecology, as evidenced by: Successful contributions to large team projects. Individually led scientific publications. Strong collaborative skills and the ability to work effectively in interdisciplinary environments. Proficiency in using a broad suite of software and tools for microbial and mutli-omics dataset analysis. Advanced programming and scripting skills in one or more of the following: R - Python. Other relevant computational languages. Ability to develop and apply customized computational approaches for complex data analysis. Excellent data integration skills, particularly in combining multi-omics datasets. Strong analytical and problem-solving skills to address complex biological questions. Effective communication skills to present complex scientific findings to diverse audiences. Adaptability and willingness to learn new techniques and approaches as the field evolves. Familiarity with current trends and advancements in microbial ecology and metabolism research. Proficiency in field and laboratory methods for characterizing soil biogeochemical cycling processes. Minimum Qualifications: Ph.D. degree in microbiology, ecology, biochemistry, molecular biology, or a closely related field. Experience with modern molecular ecology methods, including: Metabolomics. Metagenome analyses. Quantitative PCR. rRNA community sequence analyses. Proven experience in applying informatics approaches to: Metabolite studies. Amplicon microbiome analyses. Shotgun metagenomic studies. Strong track record of primary contributions to peer-reviewed publications, demonstrating excellent research and writing skills. Experience in integrating and interpreting multi-omics data sets to derive biological insights.