ID:

ARS-SEA-063

Location:

Oxford, MS Posted Date:

7/21/2026

Agency:

ARS\n

Wage/Hr:

$60.00

Hours/Week:

Minimum Age:

55\nFor over 25 years, National Experienced Workforce Solutions (NEW Solutions) has specialized in connecting experienced workers (ages 55+) with full-time and part-time job opportunities that support the critical missions of Federal Agencies across the United States.\nNEW Solutions connects experienced workers (ages 55+) with the USDA Agricultural Research Service (ARS). These experienced professionals provide administrative, scientific, and technical support to the Agricultural Research Service through the Experienced Worker Program (EWP).\nPositions listed here do not guarantee employment for any definite period. Enrollment in the Experienced Worker Programs administered by NEW Solutions is temporary. The enrollment relationship between NEW Solutions and the Enrollee is an \"at-will\" relationship. This means that an Enrollee is free to terminate enrollment at any time during the enrollment period, and NEW Solutions and the Agency have the right to terminate the relationship with the Enrollee.\n

PLEASE NOTE

An \"Enrollee\" is not a federal employee, nor an employee of NEW Solutions. An \"Enrollee\" is a participant in a grant program established through a Cooperative Agreement funded by the agency and administered by NEW Solutions. The enrollee shall not sign federal documents, authorize the use of federal funds, nor initiate or conduct federally funded research projects. The enrollee shall not author articles for publication as a federal employee, nor coordinate scientific research between the Government and private industry. The enrollee shall not present themselves as a Government employee or Government representative at meetings both foreign and domestic or when coordinating federal agencies' areas of research. The enrollee shall not make decisions on federally based research on behalf of Government policy makers, and the enrollee shall not supervise any Government employees.\nThis opportunity applies to applicants legally eligible to work in the United States.\n•This position will be open until filled.\n

Duties:

\nEnrollee will provide insight on National Sedimentation Laboratory (NSL) historical and current projects and assist with data organization, statistical analyses, interpretation, and collection / storage infrastructure. The enrollee shall not sign federal documents, authorize the use of federal funds, nor initiate or conduct federally funded research projects. The enrollee shall not author articles for publication as a federal employee, nor coordinate scientific research between the Government and private industry. The enrollee shall not present themselves as a Government employee or Government representative at meetings both foreign and domestic or when coordinating federal agencies' areas of research. The enrollee shall not make decisions on federally based research on behalf of Government policy makers, and the enrollee shall not supervise any Government employees.\nAssist with organization, harmonization, statistical analysis and interpretation of soil, plant, crop production, and hydrologic data from Long-Term Agroecosystem Research (LTAR) Project and Conservation Effects Assessment Project (CEAP). 50%\nAssist with reporting, archiving, and public sharing of long-term project data. 45%\nAdvise on maintenance and improvement of field data collection infrastructure. 5%\n

Qualifications:

\nMinimum of 35 year(s) of experience in soil science research. OR PhD Degree in Soil Science\nScientific knowledge of water, soil, agronomy, and agricultural systems. Experience with equipment, experimental methods (processing, laboratory analyses, and field design), statistical methods, and data associated with collecting and processing water, soil, and crop production data at plot, farm, and watershed scales.\nExperience required with Windows, Apple, MS Word, MS Excel, MS PowerPoint\nSAS Statistical Software\n

Other:

\nPhysical requirements: Light lifting abilities and mobility to walk in the field. 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