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This appointment is a 12-month position as a research scientist in the Quantitative Life Sciences Initiative with support from the Department of Agronomy and Horticulture and the Department of Statistics at the University of Nebraska-Lincoln.
Duties include the development of a strong research and teaching program in scientific data hosting, management, and sharing, which contributes to the organizational mission (e.g., Agricultural Research Division, Quantitative Life Sciences Initiative, Department of Statistics, Department of Agronomy and Horticulture, Office of Research and Economic Development). Responsibilities include (1) developing methods for FAIR data management and sharing in plant genetics, breeding, and phenomics; (2) developing software implementations of FAIR pipelines; and (3) using newly emerging bioinformatic and computational tools to make significant contributions to multitype data management (e.g., molecular, organismal, ecological).
The incumbent will be expected to average 0.30 FTE as determined by the CASNR Academic Appointment Guidelines. This will include one regular course per semester in Agricultural Sciences, Statistics or Bioinformatics. The incumbent is expected to develop and teach graduate seminars and workshops on topics relevant to life science data management and contribute to educational activities associated with the doctoral program in Complex Biosystems. Specific teaching activities may be changed over time based on academic unit(s) needs.
The incumbent will be expected to average 0.70 FTE to support seeking and establishing effective disciplinary and transdisciplinary collaborations including effective integration with externally funded research groups and educational programming. The incumbent is expected to publish in high-quality, high-impact peer-reviewed journals, and participate in scientific meetings and other appropriate professional activities.
The incumbent will contribute, as an effective scholar and citizen of a land-grant institution, to the integrated mission of home units (e.g., departments, initiative), including supporting student recruitment and IANR science literacy initiative, and beyond.Minimum Required Qualifications
PhD in Statistics, Agronomy and Horticulture, Bioinformatics, Agricultural Sciences, or closely related field. Experience with one or more data types in plant sciences, plant phenotyping and FAIR data principles, as demonstrated by refereed papers, presentations, or other completed projects, e.g., PhD thesis. Computing and methodological skills appropriate to the sharing and analysis of data types with which the candidate has experience.Preferred Qualifications
Demonstrated methodological novelty and creative ability in one or more area of statistics or bioinformatics related to plant phenotyping and plant breeding and genetics. This includes, but is not limited to, Bayesian image analysis, ontologies, crop genetics/breeding, and distributed computing. Experience collaborating (including data collection) with subject matter researchers in the general area of agricultural sciences. Sophisticated computational skills including data management, data sharing, algorithm design, and coding. Communication skills, written, verbal and otherwise, at a level sufficient to interact easily with a broad range of researchers at UNL, with the academic world more generally, and with the broader Nebraska agricultural community.Pre-Placement Driving Record Review RequiredCriminal History Background Check RequiredNoPosted SalaryHow to Apply
Click Apply to this job and complete the information form. Attach a letter of interest, curriculum vitae, contact information for three professional references, and a one-page statement of research interests (attach as Other Document ).
As an EO/AA employer, qualified applicants are considered 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. SeeFor questions or accommodations related to this position contact
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