Senior Research Associate

The Decker Computational Genomics Group at the University of Missouri is recruiting a Senior Research Associate. The Senior Research Associate will have responsibilities of 1) data analysis, 2) manuscript preparation, 3) data collection and 4) project management, with a focus on data analysis. Main data analyses would entail genome-wide association studies, genomic prediction, and variance estimation; with opportunities to assist with evolutionary and population genomic analyses.

Decker's research group (https://deckerje.mufaculty.umsystem.edu/home ) has various research interests, combining quantitative genomics, population genomics, and evolutionary biology. All research projects use computational genomics approaches. Projects include: Genomic prediction, Mapping loci responding to selection, Genotype-by-environment interactions, Genetics of fertility, Genetics of metabolism, Population structure of cattle breeds, and Demographic modelling. Decker’s group has long-term funding supported by the Wurdack Endowment and several federal grants.

The University of Missouri is an AAU member, Carnegie R1 institution, and one of the most comprehensive land grant universities in the nation, including agriculture, veterinary medicine, human medicine, engineering, journalism and law. Excellent facilities and opportunities for collaboration across the campus, system and state are available. Office space will be in the Animal Science Research Center, which houses research and teaching facilities.

A unique attraction is the opportunity to collaborate with our nationally-recognized researchers in all animal science disciplines, including genetics, reproduction, and nutrition. Further, the Decker Genomics Group has an active collaboration with Gui DeSouza in the College of Engineering working on robotic vision of cattle. The University of Missouri is a leader in genomic research, with internationally recognized researchers in genome assembly, genome annotation, comparative genomics, whole-genome sequence analysis, functional genomics, population genomics, genome-wide association analysis, genomic prediction, and novel trait development.

Minimum Qualifications: Ph.D. in animal science, genetics, statistics or closely related field by the time of appointment .

1) data analysis

2) manuscript preparation

3) data collection

4) project management

The primary focus of the evaluation will focus on data analysis.

To apply, visit http://hrs.missouri.edu/find-a-job/academic/ , Job ID 49206, and submit:

·         Letter of interest addressing the applicant’s qualifications

·         Comprehensive curriculum vitae

·         Address, phone number

·         Email addresses and phone numbers of 3 references

Review of applications will begin on November 15, 2023 and continue until a suitable candidate is identified.

Contact: Specific inquiries regarding this position may be directed to Jared Decker (573-819-0837).

About MU: MU is the flagship campus of the University of Missouri System. The University is located midway between St. Louis and Kansas City in Columbia, a vibrant community consistently ranked as one of the best small cities for livability, in the U.S. The Division of Animal Sciences is one of the top departments in the university in terms of extramural funding, research productivity and student numbers. The graduate program is among the top-ranked in the nation, by the National Research Council. The division values diversity and welcomes members of all groups among faculty, staff and students.

This position is eligible for University benefits.  The University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts.  For additional information on University benefits, please visit the Faculty & Staff Benefits website at http://www.umsystem.edu/totalrewards/benefits

Values Commitment
 
We value the uniqueness of every individual and strive to ensure each person’s success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement.  This commitment makes our university a better place to work, learn and innovate.

In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research and engagement.

Equal Employment Opportunity

The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo .