Research Engineering Expert – Earth Sciences

Weekday (YC W21)

. Convert real-world Earth-science research workflows into well-defined, self-contained terminal-based benchmark tasks .

Posted 10/20/2026contractRemote • IndiaMid-LevelSenior💰 $300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Earth sciences with a strong focus on scientific programming and data analysis. Proficient in developing and validating computational workflows while ensuring scientific quality control and accuracy.

Highest-signal resume keywords

PhD In Earth SciencesProficiency In PythonGeospatial AnalysisScientific Data ProcessingNumerical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC/C++MATLAB/OctaveJuliaGeospatial AnalysisNumerical SimulationTime-Series AnalysisData ProcessingScientific Quality ControlEnvironmental Risk Assessment

Soft Skills

Analytical SkillsProblem-Solving SkillsTechnical Documentation Skills

Tools & Technologies

LinuxTerminal-Based EnvironmentsScientific LibrariesCommand-Line Utilities

Industry Keywords

Climate ScienceAtmospheric ScienceGeophysicsOceanographyGeologyHydrologyRemote SensingEnvironmental ModelingEarth-System ScienceData Provenance

Tech Stack

Tools & technologies

LinuxPythonRemote SensingC++

About the role

Key responsibilities & impact

Convert real-world Earth-science research workflows into well-defined, self-contained terminal-based benchmark tasks
Prepare and process climate, atmospheric, geological, hydrological, oceanographic, remote-sensing, and other environmental datasets
Build reproducible environments using scientific libraries, command-line utilities, and domain-specific tools
Create reliable expert solutions using Python, R, Bash, Julia, or other relevant scientific programming languages
Develop tasks involving geospatial analysis, numerical simulation, time-series processing, interpolation, forecasting, remote sensing, and environmental risk assessment
Define objective evaluation criteria for scientific outputs, numerical accuracy, data transformations, model behavior, and spatial or temporal correctness
Verify coordinate reference systems, measurement units, timestamps, missing-data handling, scientific assumptions, and numerical consistency
Develop automated tests for numerical tolerances, output formats, metadata, reproducibility, and task requirements
Diagnose and resolve issues involving geospatial projections, large datasets, dependencies, computational performance, and numerical stability
Document data provenance, task instructions, expected outputs, edge cases, scientific limitations, and validation procedures
Complete the initial application and interest confirmation
Complete a 120-minute technical assessment
Work with delivery managers through application and assessment review

Requirements

What you’ll need

PhD in an Earth Sciences discipline is mandatory, including climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, environmental modeling, or Earth-system science
Strong expertise in at least one Earth-science specialization, supported by academic research or relevant professional experience
Proficiency in Python, C/C++, MATLAB/Octave, Julia, or similar programming languages used for scientific simulation, modeling, and data analysis
Hands-on experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis
Experience developing, debugging, and validating computational workflows
Comfort working independently in Linux and terminal-based environments
Strong understanding of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy
Excellent analytical, problem-solving, and technical documentation skills
Available to begin immediately
Ability to commit to approximately 40 hours per week and at least 4 hours of daily overlap with PST
Ability to complete a 120-minute technical assessment
Must use the same email address for the Interest Check Form and agency portal submission

Benefits

Comp & perks

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)