This position is located in Inventory and Monitoring Data Networks, in the Inventory and Monitoring Division. The incumbent serves as a network Data and Information Manager for the Inventory and Monitoring (I&M) Program. The incumbent is responsible for the design, development, coordination and administration of data management programs developed for use by the Inventory and Monitoring program. This position is not eligible for remote work.

Duties

The major duties of the Interdisciplinary Biologist/Ecologist (Inventory and Monitoring Data Manager) position include, but are not limited to, the following: Leads all aspects of the Rocky Mountain Inventory and Monitoring Network (ROMN) data-management program, including development and implementation of tabular and spatial databases, database protocols, quality assurance and control plans, scopes of work, and technical criteria. Monitors projects throughout their lifecycle to ensure desired goals and timelines. Develops tools and practices to facilitate the collection, quality control, publication, dissemination, exploration, and use of inventory & monitoring data to support decision-making in parks. Applies quantitative and computer-science skills to organize, analyze, and interpret complex, ecological data sets. Publishes high-quality inventory & monitoring datasets using open-science practices, whereby data are reproducible, transparent, appropriately reviewed, and publicly available to the extent possible. Manages and maintains computer systems, hardware, and software in collaboration with IT staff. Designs and implements relational databases using enterprise-level software. Writes reports, briefings, presentations, or other communications to share science and data management practices with a variety of audiences, including scientists, managers, planners, park staff, cooperators, and partners. Participates in and leads technical workshops, meetings, and trainings. Collaborates with staff to develop solutions for a variety of high-profile data science projects. Collaborates within and between agencies to increase usefulness and dissemination of monitoring data. Trains and leads other data-management staff.

Requirements

Qualifications

All qualifications must be met by the closing date of this announcement - 09/21/2023 - unless otherwise stated in this vacancy announcement. Credit will be given for all appropriate qualifying experience. To receive credit for experience, your resume MUST clearly indicate the nature of the duties and responsibilities for each position, starting and ending dates of employment (month/year), and the resume must reflect full and/or part-time or total number of hours worked (i.e., work 40+ hours a week, rather than indicating full-time). If part-time, the hours must be annotated to be able to pro-rate the amount of qualified specialized experience. To qualify for the Interdisciplinary Biologist/Ecologist (Inventory and Monitoring Data Manager) position at the GS-11 grade, you must meet the following requirements by the closing date of this announcement: Basic Requirements General Resources Management and Biological Science Series, 0401 (You must include unofficial transcripts): Degree: biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position. Or Combination of education and experience: Courses equivalent to a major, as shown above, plus appropriate experience or additional education. Ecology Series, 0408 (You must include unofficial transcripts): Degree: biology, or a related field of science underlying ecological research that included at least 30 semester hours in basic and applied biological sciences. These hours must have included at least 9 semester hours in ecology, and 12 semester hours in physical and mathematical sciences. In addition to the basic requirements listed above, to qualify for this position at the GS-11 grade level, you must possess all of the following minimum qualifications by close of the announcement: EXPERIENCE: At least one full year of specialized experience comparable in scope and responsibility to the GS-09 grade level in the Federal service (obtained in either the public or private sectors). Experience at this level must include all of the following: Experience preparing, cleaning, and summarizing scientific data for use in analysis and reporting, including experience creating SQL queries. Experience creating R or python scripts to evaluate and report the status and trends in scientific data. Experience developing technical requirements to guide the creation of data collection, data-quality management, data processing, or automated reporting applications/tools. Experience using and improving enterprise-level applications for management and dissemination of scientific information products. ***You must include hours worked per week.*** -OR- EDUCATION: Successful completion of 3 years of progressively higher-level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree in a course of study that directly reflects the job-related KSAs/competencies necessary to satisfy the minimum qualifications and perform the duties of the position. ***You must include transcripts.*** -OR- COMBINATION OF EDUCATION AND EXPERIENCE: Completion of a combination of education and experience as described above. ***You must include transcripts.*** You must include months, years and hours per week worked to receive credit for your work and/or volunteer experience. One year of specialized experience is equivalent to 12 months at 40 hours per week. Part-time hours are prorated. You will not receive any credit for experience that does not indicate exact hours per week or is listed as "varies". Experience listed as full-time will be credited at 40 hours per week. Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education

To qualify based on education, you must submit a legible copy of transcripts from an accredited institution with your name, school name, credit hours, course level, major(s), and grade-point average or class ranking. Transcripts do not need to be official, but if you are selected for this position and you used your education to qualify, you must provide official transcripts before you begin work.

If you are using education completed in foreign colleges or universities to meet qualification requirements, you must show that your education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.

Contacts

• Address Inventory and Monitoring Data Networks 1849 C Street, NW Washington, DC 20240 US
• Name: Washington Office
• Email: [email protected]