Research Engineering Expert – Earth Sciences

This is a fully remote position, open to applicants in India.

📋 Description

• Transform real-world Earth-science research workflows into clearly defined, self-contained benchmark tasks for terminal execution.

• Prepare and process various environmental datasets, including climate, atmospheric, geological, hydrological, oceanographic, remote-sensing, and more.

• Construct reproducible environments utilizing scientific libraries, command-line tools, and specialized domain tools.

• Develop dependable expert solutions using programming languages such as Python, R, Bash, Julia, or other pertinent scientific languages.

• Create tasks that involve geospatial analysis, numerical simulations, time-series processing, interpolation, forecasting, remote sensing, and environmental risk assessment.

• Establish objective evaluation criteria for scientific outputs, including numerical accuracy, data transformations, model behavior, and spatial or temporal correctness.

• Verify aspects such as coordinate reference systems, measurement units, timestamps, handling of missing data, scientific assumptions, and numerical consistency.

• Design automated tests to ensure numerical tolerances, output formats, metadata, reproducibility, and task requirements are met.

• Identify and troubleshoot issues related to geospatial projections, large datasets, dependencies, computational performance, and numerical stability.

• Document data provenance, task guidelines, expected outputs, edge cases, scientific limitations, and validation procedures.

• Complete the initial application and interest confirmation process.

• Undertake a 120-minute technical assessment.

• Collaborate with delivery managers during the application and assessment review.

⛳️ Requirements

• A PhD in an Earth Sciences discipline is essential, covering fields such as climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, environmental modeling, or Earth-system science.

• Demonstrated strong expertise in at least one Earth-science specialization, backed by academic research or relevant professional experience.

• Proficient in Python, C/C++, MATLAB/Octave, Julia, or equivalent programming languages utilized for scientific simulation, modeling, and data analysis.

• Practical experience in scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.

• Proven experience in developing, debugging, and validating computational workflows.

• Comfortable working independently within Linux and terminal-based environments.

• Strong grasp of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy.

• Exceptional analytical, problem-solving, and technical documentation capabilities.

• Available for immediate start.

• Commitment to approximately 40 hours weekly, including at least 4 hours of daily overlap with Pacific Standard Time (PST).

• Must complete a 120-minute technical assessment.

• Required to use the same email address for both the Interest Check Form and agency portal submission.

🏝️ Benefits

• No medical benefits.

• No paid leave.

• Contract duration: 5 weeks.

• 40 hours per week.

• At least 4 hours of daily overlap with Pacific Standard Time (PST).