Digital Harbor Foundation

Research Scientist

• Collaborate with data scientists, engineers and scientists to develop methods to forecast glacier ice flow and its impact on sea level rise.
• Integrate domain knowledge into model design and interpret model outputs for physically realistic conditions
• Develop, adapt, and evaluate probabilistic ML and hybrid physics-ML models for cryospheric processes including ice sheet flow, surface mass balance, and ocean-ice interactions
• Develop and run large scale numerical simulations of ice dynamics.
• Process and curate large-scale observational and synthetic datasets (e.g., satellite data, radar sounding and ice sheet model outputs) for use in model training and validation.
• Identify sensitivities of model outputs to model imperfections of low quality source data or data gaps
• Participate in regular team research reviews, contributing to and receiving feedback on methods and results

Supply Chain

• Serve as the primary point of contact for ALE for all expedition logistics: flight scheduling, cargo, camp configuration, field movement planning, and communications setup
• Work with the science team to develop a detailed Field Plan covering site access, instrument deployment sequences, traverse routes, daily schedules, and contingency plans
• Coordinate equipment procurement, packing, documentation, and cargo shipping to Punta Arenas staging
• Coordinate team medical/fitness clearances and any ALE-required training or documentation
• Liaise with science team members across multiple institutions to consolidate logistics requirements
• Oversee equipment repatriation, cargo tracking, and shipping from Punta Arenas
• Compile a post-season logistics report documenting lessons learned, ALE costs, and recommendations for future seasons

Field Logistics Coordinator

Full-stack Engineer

• Support team members and external partners in their understanding of the technical stack.
• Design, develop, test, and deploy scalable, high-quality software solutions, including backend systems and APIs.
• Write clean, maintainable, and efficient code following industry best practices.
• Optimize web application performance and ensure compliance with strict regulations, such as HIPAA.
• Manage cloud infrastructure, CI/CD pipelines, and automate deployment processes.
• Identify and capitalize on opportunities for technical impact by meeting with external leadership and collaborating with data scientists.
• Apply best engineering practices, including continuous integration/continuous deployment (CI/CD), automated testing, and DevOps principles.
• Research and adopt new technologies, especially generative artificial intelligence, to securely enhance software performance and business outcomes.
• Stay updated on policy changes and new research in child welfare to integrate relevant insights into the technological framework.

Full Stack Engineer

Data Analyst

• Conduct and deliver impactful data analyses to child welfare system leaders, including state directors, NGO executives, and program staff.
• Prepare written reports, decks, and related documentation that translate analytical findings into actionable recommendations for program and policy improvement.
• Conduct literature reviews, informational interviews, and exploratory data analysis to uncover causes of challenges in child welfare systems.
• Transform complex datasets into analyzable formats using tools like R and Python.
• Write transparent and maintainable code using version control systems like Git.
• Apply statistical techniques to analyze large datasets and extract meaningful insights.
• Develop and present data visualizations utilizing appropriate statistical packages.
• Work closely with colleagues and external partners to share insights, present findings, and advance solutions.
• Maintains technical and administrative support for a research project.
• Analyzes and maintains data.
• Conducts literature reviews.
• Assists with preparation of reports, manuscripts and other documents.