Environmental Data Management Student Assistant

Overview The Earth and Environmental Sciences Area at Lawrence Berkeley National Laboratory (LBNL) has an exciting data management opportunity for a student assistant involving data generated and managed by large DOE-funded projects. The DOE’s Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS‑DIVE) is a data archive for Earth and environmental science data ( The DOE’s Watershed Function Scientific Focus Area ( investigate hydrological perturbations to mountainous watersheds and their impacts to downstream water quantity and quality. These projects generate and manage diverse datasets from various environmental sciences that include hydrology, geology, ecology, geochemistry, biology, climate and geophysics. Responsibilities Work with scientists at LBNL and partner institutions to organize and submit metadata and data following Findable, Accessible, Interoperable, and Reusable (FAIR) principles. Assist with metadata and data curation by performing basic quality checks to ensure metadata and related information are complete and project data standards are adhered to. Coordinate public release of datasets by working with relevant investigators, managing the publication workflow, and engaging with DOE’s Office of Science, Technology, and Information (OSTI). Provide assistance to researchers and others in gaining access to the data and information made accessible, and answer user support questions. Participate in community engagement activities, such as website updates, newsletters, and outreach. Additional Responsibilities Provide feedback on and refine technical user documentation. Manage repository users and keep archive metadata consistent with field collection activities. Help prepare data package statistics and user stories for project leadership and DOE’s Office of Science. Qualifications Undergraduate student currently working toward a Bachelor’s degree in Earth/Environmental sciences. Prior experience in data management practices is highly desirable. Programming experience (Python) is highly desirable; willingness to learn scripting skills for data management processes. Interest in using AI tools for data management and user support. Good communication and organization skills, attention to detail, and ability to work in an interdisciplinary, collaborative team environment is required. Benefits Exceptional health and retirement benefits, including pension or 401K‑style plans. A culture where you’ll belong – we are invested in our teams. Vacation and sick time, and a Winter Holiday Shutdown every year. Parental bonding leave (for both mothers and fathers). Additional Information Appointment type: full‑time student assistant appointment with possibility of renewal based on satisfactory job performance, continuing availability of funds, and ongoing operational needs. Salary range: $19.18 – $25.18 per hour. Background check: subject to background check; convictions evaluated for relevance to responsibilities. Work modality: primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here). Work authorization for student assistants: requires permanent work authorization or current U.S. visa status at time of hire. Visa status must be maintained independently of Berkeley Lab; no visa sponsorship for applicants without a bachelor's degree. Equal Employment Opportunity Employer: Berkeley Lab is an Equal Opportunity Employer and welcomes applications from all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Misconduct Disclosure Requirement: as a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. #J-18808-Ljbffr Lawrence Berkeley National Laboratory