Umes
Education Workforce Specialist
University of Maryland Eastern Shore · Full-time
Sponsorship not specified$65k-$71kDetected 11 days ago
Customer SupportDNSResearchLeadershipCommunicationPublic Speaking
About the role
- UMES offers exciting opportunities for professional growth.
- SANS has three departments, including the Department of Natural Sciences (DNS), Department of Agriculture, Food, and Resource Sciences (DAFRS), and Department of Human Ecology (DHE).
- DAFRS offers master's and Ph.D. degrees in Food and Agricultural Science.
Responsibilities
- d) Are aware and have increased knowledge about the NOAA mission, opportunities for internships, scientific integrity, and acknowledging NOAA for support
- Lead center outcomes aligned to support the LMRCSC program purpose,
- Work with the Distinguished Research Scientist, to identify, develop and
- Perform other related duties as assigned such as participation in LMRCSC
Requirements
- Required Knowledge/Skills/Abilities:
- The successful candidate must be able to show acceptable documentation establishing the right to accept employment in the United States of America without employer sponsorship.
Skills
- Skilled in database management/development
- Skilled in managing and assessing multi-institutional educational programs
- Strong customer service skills.
- Must be organized and detail oriented.
Compensation
- $65,000 - $70,900
Benefits
- award-required reporting for center-wide education and training, including
Equal opportunity
- UMES is an EEO/AA employer and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, religion, national origin, marital status, genetic information, or political affiliation.
- equal opportunity institution fully committed to diversity in education and employment.
Visa & Work Authorization
- The successful candidate must be able to accept employment in the United States without Employer Immigration sponsorship.
This listing is sourced directly from Umes's careers page and normalized into a canonical job model.