Junior Scientific Programmer Analyst

Lynker Corporation4 days ago
Falmouth, MA
Remote
Full-time
Junior Level (1-3 years)
$60,000-$98,000 Annually

Job Description

Position Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support improved operational weather forecasts. We are seeking a dynamic and experienced Junior Scientific Programmer Analyst for an upcoming long-term contract (a contingent position based upon contract award) under FLOAT – a joint venture between Lynker and Fish serving NOAA ProTech Fisheries.

Key Responsibilities

  • Estimate abundance of protected species accounting for perception and availability bias; quantify distribution trends; develop spatially- and temporally-explicit density and abundance models and maps incorporating environmental factors using techniques such as Generalized Additive Models and Bayesian Hierarchical Models.
  • Develop and implement improved methods to address uncertainties in analyses, including unspecified species identification, species-specific dive time corrections, incorporating passive acoustic data, and comparing with other sampling techniques such as high-definition photogrammetry line transect aerial surveys.
  • Develop simulated datasets from survey outputs (e.g., line transect surveys) that incorporate various biases.
  • Quantify ecological relationships between characteristics of protected species (abundance, distribution, bycatch) and their physical/biological ecosystems.
  • Estimate bycatch of protected species in fisheries using government-provided observer and fishery data.
  • Detect, process, and describe occurrences of bycatch events from diverse data sources using tools such as artificial intelligence (AI) and machine learning (ML).
  • Characterize and assess impacts on protected species from climate change and anthropogenic activities, including shipping, fishing, energy development, and other human-caused potential threats.
  • Conduct analyses using data from multiple survey platforms, including visual sightings, UAS imagery, environmental, acoustic, photo-ID, telemetry, and tag data.
  • Assist with managing protected species research projects including organization, workflow, goal-setting, and reporting.
  • Create and maintain databases for survey, environmental, tissue sample, and other data streams with user-friendly data entry and extraction processes.
  • Build tools using R, RShiny, and other programming interfaces to address emerging needs.
  • Produce technical and public outreach materials including reports, presentations, web content, and manuscripts.
  • Synthesize and present results at conferences and other venues, and contribute to cruise reports, permit applications, manuscripts, and presentations.
  • Develop scientific algorithms to identify potential targeted marine animals in digital images, documenting both false negative and false positive biases using AI and/or ML tools.

Required Qualifications

  • Bachelor’s degree or equivalent; or at least 1+ years of extensive experience or education working with and knowledge of related scientific methods.
  • Experience with distance sampling methods, statistical analyses (e.g., generalized additive models) and Bayesian hierarchical models.
  • Experience in developing species distribution models and creating simulated survey data (involving population dynamics, bias exploration, and uncertainty assessment).
  • Proficiency in processing remote sensing data (e.g., echosounder and satellite data).
  • Technical skills with open source artificial intelligence or machine learning techniques.
  • Extensive experience in Oracle database design and SQL.
  • Demonstrated proficiency in web design.
  • Experience with bycatch estimation using observer and fishing effort data.
  • Familiarity with programming using statistical software such as R, Splus, SAS, AD Model Builder, Template Model Builder, Python, C++, or similar tools; and a solid understanding of basic statistical methods.

Benefits & Perks

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare coverage including medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation planregularly 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

Required Skills

Machine Learning
Database Design
Simulated Survey Data Generation
Generalized Additive Models
Web Design
Species Distribution Modeling
Artificial Intelligence
R Programming
Distance Sampling Methods
Bayesian Hierarchical Models
Oracle SQL
Python Programming