Acoustician Level 2 – Part Time, Cetacean Data Analysis & Processing Support

🔥 0 minutes ago

🌺 Hawaii – Remote

info

💵 $36 - $52 / hour

⏱ Part Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

🦅 H1B Visa Sponsor

info
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Lynker

Lynker

501 - 1000 employees

Founded 2007

🔬 Science

Science • Engineering • Environmental Policy & Compliance

Lynker is a premier science, engineering, and technology company that specializes in providing innovative solutions in weather and climate science, marine/ocean science and engineering, and space weather and space climate. The company partners with governments, communities, and industries to deliver impactful services that address global environmental security and economic prosperity. By leveraging a team of skilled scientists, engineers, and educators, Lynker tackles some of the nation’s most important missions and challenges, while also focusing on training, communications, and outreach for effective environmental policy and compliance.

📋 Description

• Analyze passive acoustic monitoring datasets collected from stationary recorders, towed hydrophone arrays, drifting recorders, autonomous gliders, and other acoustic platforms. • Develop, test, validate, and refine automated cetacean detection, classification, and localization approaches. • Conduct quantitative analyses of cetacean occurrence, abundance, seasonality, habitat use, and acoustic behavior. • Characterize cetacean call types and evaluate relationships between acoustic detections and environmental or anthropogenic factors. • Perform statistical analyses supporting marine mammal stock assessments and ecological research. • Analyze underwater soundscape datasets and compute ambient noise metrics across multiple temporal scales. • Evaluate long-term acoustic trends and assess natural and anthropogenic sound sources within monitored ecosystems. • Validate automated classifiers through manual review and annotation of acoustic datasets. • Support acoustic analyses associated with autonomous Seaglider deployments and other emerging monitoring technologies. • Contribute to acoustic propagation modeling and evaluation of species-specific detection performance. • Maintain reproducible analytical workflows using MATLAB, Python, R, GitHub, and NOAA Fisheries data management standards. • Document analytical methods, maintain analysis logs, and support preparation of reports, manuscripts, conference presentations, and technical summaries. • Collaborate with NOAA scientists, project partners, and working groups to advance passive acoustic monitoring methodologies and research objectives.

🎯 Requirements

• Master’s degree in marine biology, oceanography, acoustics, fisheries science, statistics, computer science, or related field • At least two (2) years of relevant experience • Working knowledge of underwater acoustic theory and practice, including acoustic propagation, sound measurement, and standard signal processing techniques • Experience developing, testing, and validating automated detectors and classifiers for passive acoustic datasets • Experience processing acoustic data to extract soundscape and ambient noise measurements at hourly to yearly timescales • Ability to design, execute, and interpret statistical analyses of animal abundance to evaluate patterns in occurrence or associations with habitat or fishery variables • Prior experience drafting reports and presenting project results at scientific meetings • Proficiency in MATLAB and R programming languages, including MATLAB-based acoustic analysis software Triton • Current MS Office skills • Proficiency with passive acoustic metadata databases such as TETHYS and Makara • Proficiency in open science practices, including use of GitHub or other resources for maintaining and archiving analysis code

🏖️ Benefits

• Comprehensive healthcare for the employee at no monthly cost • Personal Time Off (PTO) Policy plus paid holidays • Highly competitive compensation plan regularly calibrated against industry and location benchmarks • 401(k) retirement plan with company-matching • Employee Stock Ownership Plan (ESOP) – we’re all company owners! • Flexible spending accounts • Employee assistance program (EAP) • Short- and long-term disability insurance • Life and accident insurance • Tuition assistance/Training/Workforce improvement reimbursement per year • Spot bonuses for exceptional performance • Annual Employee Recognition Awards with bonuses • Employee Referral Program • Free centralized, self-directed Learning Management System to learn at your own pace • Personalized career growth plans for every employee

Apply Now

Similar Jobs

🕒 May 20

Full Stack Academy

11 - 50

📚 Education

Part-Time Instructor teaching Generative AI applications in analytics for Simplilearn, a leading online Bootcamp provider. Engaging adult learners through live sessions and practical exercises.

🕒 April 10

CTI

501 - 1000

🏢 Enterprise

📱 Media

📡 Telecommunications

Educator teaching Data Analytics courses remotely at CIAT. Focus on maximizing student learning and engagement through synchronous online formats and effective teaching strategies.

🕒 March 20

CTI

501 - 1000

🏢 Enterprise

📱 Media

📡 Telecommunications

Data Analytics Adjunct Instructor teaching synchronous online courses via Microsoft Teams for California Institute of Applied Technology. Preparing students for professional success in technology fields through engaging and effective instruction.

🕒 March 20

CTI

501 - 1000

🏢 Enterprise

📱 Media

📡 Telecommunications

Data Analytics Adjunct Instructor teaching synchronous online courses remotely for California Institute of Applied Technology. Responsible for maximizing student learning and maintaining compliance with educational standards.

🕒 January 6

CTI

501 - 1000

🏢 Enterprise

📱 Media

📡 Telecommunications

Part-time Data Analytics Adjunct Instructor teaching synchronous online courses via Microsoft Teams at CIAT. Focused on empowering students for professional success in technology fields.