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Position: Open Rank Professor - Statistical Geneticist
Institution: University of Nebraska-Lincoln
Location: Lincoln Nebraska United States
Duties: The research apportionment includes: development of novel techniques for the analysis of data arising from the integration of phenotypic and genomic data and other problems in quantitative genetics and genomics; seeking and establishing effective disciplinary and transdisciplinary collaborations including effective integration with existing research groups; connecting with stakeholders, agency, and/or industry partners to strengthen research and educational programming; effectively obtaining and leveraging external and internal support (grants, fee revenue, etc.) for research and teaching activities; mentoring undergraduate and graduate students; publishing in high-quality, high-impact peer-reviewed journals, and participating in scientific meetings and other appropriate professional activities; and translating research-based information into learner-centered products
Requirements: PhD in Statistics/Biostatistics with an emphasis on statistical genetics or closely related field; Written work on statistical genetics including methodology and applications or closely related fields; Proven computational proficiency
Text: Skip to Main Content alternate_text_here University of Nebraska-Lincoln Employment Websiteimage of the cuppola on top of Love Library Home Search Jobs Log In /Create Account Help Open Rank Professor - Statistical Geneticist | | Please see Special Instructions for more details. Click “Apply to this job” and complete the information form. Attach the following documents: A letter of interest that describes your qualifications for the job, anticipated contributions, and the value you place on diversity and your anticipated contributions to creating inclusive environments in which every person and every interaction matters (2 page maximum; see https://ianr.unl.edu/tips-writing-about-commitment-to-deib for guidance in writing this statement). Your curriculum vitae. A teaching and research statement (1 page each). Combine into one document and attach as “Other Document." Contact information for three professional references. Position Information Position Information Working Title Open Rank Professor - Statistical Geneticist Department Statistics IANR-0832 Requisition Number F_220021 Posting Open Date 03/20/2023 Application Review Date: (To ensure consideration, please submit all application materials before review date) 04/21/2023 Posting Close Date Open Until Filled Yes Description of Work The incumbent, as an expert in statistical genetics, will contribute to the integrated research and teaching land-grant mission of the home unit and IANR, as an effective scholar and citizen, including supporting student recruitment and IANR science literacy. As appropriate to the appointment, the incumbent will develop a high-impact, nationally and internationally recognized research and teaching program in the theory and methodology of statistical genetics. The research apportionment includes: development of novel techniques for the analysis of data arising from the integration of phenotypic and genomic data and other problems in quantitative genetics and genomics; seeking and establishing effective disciplinary and transdisciplinary collaborations including effective integration with existing research groups; connecting with stakeholders, agency, and/or industry partners to strengthen research and educational programming; effectively obtaining and leveraging external and internal support (grants, fee revenue, etc.) for research and teaching activities; mentoring undergraduate and graduate students; publishing in high-quality, high-impact peer-reviewed journals, and participating in scientific meetings and other appropriate professional activities; and translating research-based information into learner-centered products. The teaching apportionment includes: creating scholarly, innovative, and high impact learning programs and tools; identifying issues and opportunities focused on learner needs and emerging regional and national issues with international relevance; measuring the impact of the incumbent’s programs and communicating results to administrators, stakeholders, users, and media; and mentoring colleagues through professional development, translational research, grants, and professional writing. Research 50% Research opportunities include the development of statistical theory and methods needed to integrate multiple types of genomic data (e.g., SNP and high throughput genotyping data) for genomic prediction in important traits in plants, animals, and humans and deciphering the underlying mechanisms driving genetic variation for those traits. Collaboration with researchers in allied departments is highly encouraged. Opportunities to both lead and join research teams exist in a wide variety of areas. Animal Science, for example, has access to large and unique populations of cattle and swine. Agronomy & Horticulture work with state-of-the-art crop phenomics data. Other departments within IANR have teams working in the areas of food, microbiota, and health. Teaching 50% The incumbent will be expected to teach up to three regular courses per academic year at the undergraduate, Master’s, or PhD level with the topics to be appropriate for the incumbent’s expertise. Specific teaching responsibilities could include courses in mixed model theory and applications, and statistical genetics theory and methods. In addition, the incumbent will participate in program and curriculum improvement. Specific course and other teaching-related assignments may vary over time based on Department priorities. In addition to the above-described duties, the individual will be expected to accept committee assignments, reporting responsibilities, and other special ad hoc assignments as requested at the administrative unit, college/division, institute, and/or university level. Recognizing that diversity within a context of inclusivity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and Animal Science are committed to creating learning, research, Extension programming, and work environments that are inclusive of all forms of human diversity. We actively encourage applications from and nominations of qualified individuals from underrepresented groups. As an EO/AA employer, the University of Nebraska considers qualified applicants for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://www.unl.edu/equity/notice-nondiscrimination. Minimum Required Qualifications PhD in Statistics/Biostatistics with an emphasis on statistical genetics or closely related field. Written work on statistical genetics including methodology and applications or closely related fields. Proven computational proficiency. Preferred Qualifications Demonstrated experience in statistical genetics in a field of importance to IANR. Experience with multiple data types. Excellent communication skills. Proven record of teaching at the university level. Interest in working with diverse and/or under-represented communities or groups Pre-Placement Driving Record Review Required Criminal History Background Check Required Posted Salary How to Apply Click “Apply to this job” and complete the information form. Attach the following documents: A letter of interest that describes your qualifications for the job, anticipated contributions, and the value you place on diversity and your anticipated contributions to creating inclusive environments in which every person and every interaction matters (2 page maximum; see https://ianr.unl.edu/tips-writing-about-commitment-to-deib for guidance in writing this statement). Your curriculum vitae. A teaching and research statement (1 page each). Combine into one document and attach as “Other Document." Contact information for three professional references. For questions or accommodations related to this position contact Rachel Szelag rszelag2@unl.edu Job Category Job Category (old) Faculty Tenure/Tenure Leading Job Type 9 Month Position funded by grant or other form of temporary funding? No If Temporary, indicate end date Planned Hire Date Appointment End Date Supplemental Questions Required fields are indicated with an asterisk (*). 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