🌎 Scientific Computing / Research Engineering Expert — Earth Sciences
🌎 Scientific Computing / Research Engineering Expert — Earth Sciences | Remote Job at Turing
Are you an Earth Sciences expert with strong scientific programming and research skills? 🌍 Turing is seeking experienced researchers and technical professionals to develop realistic, terminal-based scientific tasks for Terminal Bench Science.
In this remote opportunity, you will transform real-world Earth Sciences workflows into computational benchmark tasks that test how effectively AI agents process scientific data, run models, troubleshoot pipelines, and generate scientifically accurate results.
This role is ideal for professionals with advanced expertise in climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, or environmental modeling. 💻
📌 Job Details
- 🏢 Company: Turing
- 💼 Position: Scientific Computing / Research Engineering Expert — Earth Sciences
- 🌎 Location: Remote
- 🧪 Project: Terminal Bench Science
- 💻 Job Category: Scientific Computing / Research Engineering
- 🎓 Experience Level: PhD, postdoctoral, or equivalent advanced technical experience
- 💰 Referral Bonus: Refer to the official job listing for details
- 🔗 Application: Link below
🛠️ Required Skills
- 🌍 Earth Sciences and environmental science expertise
- 🐍 Python, R, Julia, or Bash programming
- 📊 Scientific data processing and analysis
- 🗺️ Geospatial analysis and environmental datasets
- 🌦️ Climate, atmospheric, geological, or oceanographic data
- 📈 Time-series analysis and numerical modeling
- 🖥️ Linux and terminal-based environments
- ⚙️ Computational workflow development and debugging
- ✅ Scientific quality control and reproducibility
- 📝 Technical documentation and research communication
💼 Roles and Responsibilities
1. 🌎 Convert authentic Earth Sciences workflows into self-contained terminal-based benchmark tasks.
2. 📊 Prepare climate, geospatial, atmospheric, geological, hydrological, and oceanographic datasets.
3. 💻 Build reproducible computational environments using scientific libraries and command-line tools.
4. 🐍 Develop expert solutions using Python, R, Julia, Bash, or other scientific programming languages.
5. 🗺️ Create tasks involving remote sensing, geospatial analysis, interpolation, forecasting, and environmental risk assessment.
6. 🧪 Establish objective grading criteria for scientific outputs and AI agent performance.
7. 📐 Validate coordinate systems, units, timestamps, missing data, and scientific assumptions.
8. ✅ Create automated tests to verify numerical accuracy, file formats, metadata, and reproducibility.
9. 🔧 Troubleshoot geospatial projections, dependencies, large datasets, performance, and numerical stability.
10. 📝 Document datasets, expected outputs, limitations, and edge cases.
🎓 Required Qualifications
- 🎓 PhD, postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field.
- 🌍 Strong expertise in at least one relevant area, such as climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, or Earth-system science.
- 💻 Strong programming skills in Python, R, Julia, Bash, or another scientific language.
- 📊 Practical experience with scientific data processing, numerical modeling, geospatial analysis, or time-series analysis.
- 🖥️ Comfortable working independently in Linux and terminal-based environments.
- ⚙️ Ability to build, debug, and validate reproducible scientific workflows.
- 🔬 Understanding of scientific quality control, uncertainty, spatial and temporal data, and numerical accuracy.
⭐ Preferred Qualifications
Experience with the following tools and technologies is beneficial:
- 🧮 NumPy, pandas, and SciPy
- 🌐 xarray, Rasterio, GeoPandas, Cartopy, and GDAL
- 📁 NetCDF, HDF5, GeoTIFF, shapefiles, and GRIB data formats
- 🌦️ Climate, weather, satellite, seismic, oceanographic, geological, and hydrological datasets
- 🐳 Docker, Conda, Git, CI/CD, and automated testing
- 🖥️ High-performance computing (HPC) environments
🚀 Nice-to-Have Experience
- Research software engineering and scientific benchmarking
- Automated grader development and scientific evaluation
- Experience evaluating AI coding agents or terminal-based AI systems
- Publications or open-source contributions in Earth Sciences, environmental science, geospatial analysis, or computational science
🌟 Why Consider This Opportunity?
- 🌎 Work remotely on a scientific computing project.
- 🤖 Contribute to the development and evaluation of advanced AI agents.
- 🔬 Apply your scientific research and computational expertise to practical tasks.
- 💻 Work with real-world environmental and scientific datasets.
- 🧠 Help establish reliable benchmarks for scientific problem-solving.
🎯 Who Can Apply?
This opportunity is suitable for experienced Earth Sciences researchers, scientists, and research engineers with advanced subject-matter knowledge and strong computational skills.
Candidates should be comfortable developing scientific workflows, working with terminal-based tools, validating numerical results, and documenting reproducible solutions.
🔗 How to Apply
Interested and qualified candidates can visit the official Turing job listing to review the latest requirements and submit an application.
Apply Now