Acoustician – Cetacean Data Analysis & Processing Support - Remote

Overview

Lynker Corporation is seeking to hire three (3) Acousticians to support a contract with NOAA’s National Marine Fisheries Service (NMFS), Pacific Islands Fisheries Science Center (PIFSC), Protected Species Division (PSD). These are full-time positions that may be performed on-site or remotely, with anticipated travel in support of meetings, workshops, and field activities. The positions are anticipated to begin on September 30, 2026. Hiring for these positions will be contingent on contract award. Lynker will be operating under its FLOAT joint venture, a NOAA ProTech Fisheries 2.0 prime contract holder.

PIFSC PSD uses passive acoustic monitoring data to support cetacean population assessments and analysis of ocean soundscapes across the Pacific Islands Region. The tasks for these positions will support larger analysis efforts at PIFSC. Work will include analysis of datasets collected from stationary, drifting, moored, towed, and autonomous platforms to evaluate cetacean vocalizations, behavior, occurrence, and relationships to habitat and environmental conditions.

In Short

• Conduct analyses of passive acoustic datasets to support detection, classification, and localization of cetaceans
• Characterize cetacean vocalizations and evaluate behavior, occurrence, abundance, seasonality, and habitat relationships
• Develop and validate automated detection and classification approaches
• Analyze datasets from multiple platforms including stationary recorders and towed hydrophone arrays
• Apply statistical approaches to support stock assessments and ecological analyses
• Process acoustic datasets for analysis and maintain dataset logs
• Assist with preparation of technical reports and presentations
• Participate in meetings and workshops to present progress

Requirements

• Bachelor’s degree in marine biology, oceanography, acoustics, fisheries science, or related field
• Working knowledge of underwater acoustic theory and practice
• Experience with automated detectors and classifiers on passive acoustic datasets
• Proficiency in MATLAB and R programming languages
• Experience with passive acoustic metadata databases
• Ability to manage large datasets and maintain detailed documentation
• Prior experience drafting reports and presenting project results

Benefits

• Comprehensive healthcare for the employee at no monthly cost
• Personal Time Off (PTO) Policy plus paid holidays
• 401(k) retirement plan with company-matching
• Employee Stock Ownership Plan (ESOP)
• Flexible spending accounts
• Tuition assistance/Training/Workforce improvement reimbursement
• Annual Employee Recognition Awards with bonuses
• Free centralized Learning Management System
• Personalized career growth plans for every employee