Data Management Specialist – Midwater Assessment and Conservation Engineering Program (20-1161): Washington

Agency
Pacific States Marine Fisheries Com
Location
Seattle, WA
Job Category
Temporary/Seasonal Positions
Salary
$20.00/hour
Start Date
02/03/2021
Last Date to Apply
01/11/2021
Website
https://www.psmfc.org/psmfc-info/careers_2018
Description
Title: Data Management Specialist - Midwater Assessment and Conservation Engineering Program (20-1161) Location: Seattle, WA (98112) Anticipated Start Date: February 3, 2021 Position Type: Temporary (6 months or less), Hourly/Non-Exempt Benefits Eligible: No | www.psmfc.org/benefits Salary Target: $20.00/hour, Job Number: 20-1161 How to Apply: Online at www.psmfc.org/careers Closing Date: January 11, 2021 at Midnight PST Position/Project Specifics: Group Definition: Data Management Specialists (Natural Sciences) use a background in the natural sciences as they assist in the population, maintenance, enhancement and distribution of databases. They locate, obtain, standardize, enter, verify, and correct various data sets related to project goals and work plans. Position/Project Specifics: We are seeking a Data Management Specialist to work for 6 months with the Conservation Engineering group (CE) within the Midwater Assessment and Conservation Engineering (MACE) Program in the Resource Assessment and Conservation Engineering (RACE) Division of the Alaska Fisheries Science Center (AFSC). The person who fills this position will support efforts to develop machine learning (ML) and artificial intelligence (AI) methods for automated review of video collected in fishing gear. This work will contribute to a broader project aimed at bycatch mitigation in Alaska fisheries, and in developing innovative technology in support of fisheries research. Under the direction of the project lead, the incumbent will participate in the video review and in annotating video frames for pollock, salmon, and frame-level scene labels (e.g., fish presence, occlusions, periods during the fishing process). Using these annotations, the selected candidate will assist in developing scripts and software to evaluate and train ML models to semi-automate video review and annotation. Applicants must have computer programming knowledge and experience, including the ability to use modern programming practices and standards. Candidates must have experience with applying image processing and computer vision methods for object detection, extraction, and/or segmentation, experience with software development and version-control software (Git), and familiarity with machine learning and artificial intelligence models. Candidates should have proficiency in various OS systems (Windows, Linux, Mac) and multiple programming languages (preferably Python, C++). It is desirable for the incumbent to have previous video or image review and annotation experience; and experience evaluating, training, and applying ML and AI models. Familiarity with fisheries and conservation engineering research would also be beneficial. Attributes of a successful candidate include: teamwork, creativity, knowledge, timeliness, organization, written and oral communication skills, problem solving. Essential Functions: (The functions listed below are characteristic of the type and level of work associated with this group and pay band. They are not all-inclusive. Individual positions may perform some or all, as well as other similar work.) At the lower end of the range, employees: • Compile natural resources data from pre-existing data sources. • Assist biologists with simple analysis and interpretation of data. • Keep records on methods and parameters of data collection. • Present information in common graphical formats. • Write narrative descriptions of communities according to standardized format. Assure data is handled consistently across different communities. At the upper end of the range, employees: • Compile project data into standardized electronic data formats. This includes accessing filed information and verifying its accuracy and completeness, performing data entry, electronic data transfer, editing, and error checking. • Extract relevant data and present it in a variety of text and numeric formats, reports, tables, graphics, or figures. • Maintain local versions of datasets in accordance with established regional database exchange formats and standards. • Maintain a local archive of current and historical reports and documents. Coordinate the regular transfer of reference materials to archives and libraries. • Create queries, summaries, and/or maps for recurring reports. • Assist biologists with simple analysis and interpretation of data. Knowledge Required by the Position: The employee must have knowledge of: • natural sciences • computer vision and image processing • proficiency in various OS systems (Windows, Linux, Mac) and multiple programming languages (preferably Python, C++) • previous video or image review and annotation experience • experience evaluating, training, and applying machine learning and artificial intelligence models • data management concepts, principles, and methods • quality assurance principles • computer programming knowledge and experience, including the ability to utilize moderm programming practices and standards • experience applying image processing and computer vision methods for object detection, extraction, and/or segmentation • experience with software development and version-control software (Git) • familiarity with machine learning and artificial intelligence models sufficient to: input data; structure information retrievals; edit, combine and manipulate data; and/or provide reports for users. This knowledge allows the employee to assess or interpret the significance of the results and relate that to the overall objective of the assignment. Additional Mandatory Knowledge and Skills: • MS Access • MS Excel • MS Word • oral communication skills • writing technical documentation • computer vision and image processing • video review and annotation • machine learning • computer programming Additional Desirable Knowledge and Skills: • Adobe Creative Cloud • experience working with fisheries data • exposure to Alaska fisheries Physical Demands: The work is generally sedentary, although there may be some nominal walking or standing for short periods of time, or carrying of light loads of papers, books, reports, etc., that require only moderate physical ability and physical stress. Significant amounts of time may be spent on the phone and/or computer. Work Environment: The works area is adequately lighted, heated, and ventilated. The work involves the common risks or discomforts typical of office, meeting rooms, libraries, and the like. If selected for this position, candidate must reside in or be willing to relocate to a PSMFC member state (California, Oregon, Washington, Idaho, or Alaska). ________________________________________ Pacific States Marine Fisheries Commission is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status. If you have a disability and need assistance completing the application form, you may call the PSMFC human resources office at (503) 595-3100 between the hours of 8 a.m. and 5:00 p.m. PST, Monday-Friday. Reasonable accommodations for interviews will be provided upon request to individuals with disabilities. We maintain a drug-free workplace.
Qualifications
Minimum Qualification Requirements: A range of experience and education may be presented. At the lower end of the range, candidates must present one year of Specialized Experience** OR four years of successfully completed education above high school leading to a bachelor's degree in the natural sciences (biology, fishery biology, environmental science, aquatic science, geology, chemistry, physics, mathematics, statistics), or any other field that provides the same knowledge. An equivalent combination of experience and education is also qualifying. At the upper end of the range, candidates must present one year of Specialized Experience** OR one year of graduate education that is directly related to the work of the position. An equivalent combination of experience and education is also qualifying. **Specialized Experience is experience that equips the applicant with the knowledge, skills, and abilities to perform successfully the duties of the position and is typically in or related to the work of the position being filled. To be creditable, Specialized Experience must have been equivalent to at least the next lower level in the normal line of progression for the position being filled.
Contact Person
PSMFC Human Resources
Contact eMail
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