Temporary Research Assistant (Geospatial Data Scientist)
Explicitly requires vibe coding skills (mentions Claude Code) and involves building/fine-tuning GeoAI foundation models for AI-driven time-series forecasting.
About the Role
Temporary Research Assistant (Geospatial Data Scientist) for a 3-month project to implement, train, and validate a proof-of-concept deep learning framework that unifies diverse climate datasets for multi-domain time-series forecasting. The role is the core technical contributor working with the PI and climate scientists and may lead to co-authorship on a publication.
Job Description
Role
Join Woodwell Climate’s Arctic team as a Temporary Research Assistant (Geospatial Data Scientist) on a fixed-term, full-time (90-day) project. You will be the primary technical contributor responsible for implementing, training, and validating a proof-of-concept deep learning framework that translates diverse climate datasets into a unified representation for cross-domain time-series prediction. The role involves close collaboration with the PI and a multidisciplinary team and may lead to a second-author co-authorship on a resulting journal publication.
Key Responsibilities
- Process raw climate data into AI-ready datasets, including data cleaning, curation, and visualization.
- Build and manage data pipelines that unify diverse climate datasets (physical model outputs, remote sensing, in-situ flux measurements) into a common token representation for model ingestion.
- Develop and train AI models for multi-domain time-series forecasting; implement, validate, and document model experiments and results.
- Contribute to scientific documentation and manuscript writing.
- Collaborate with the PI and multidisciplinary climate science team throughout model development and evaluation.
Requirements
Must have
- Experience in machine learning and deep learning for time-series forecasting.
- Experience with multi-domain deep learning approaches.
- Familiarity with geospatial datasets and geospatial data processing.
- Experience with Claude Code and vibe coding.
Preferred
- Experience with climate or Earth science data.
- Experience fine-tuning GeoAI (geospatial AI) foundation models.
Qualifications
- Master’s in Computer Science, Data Science, Environmental Science, or a related quantitative field; or a Bachelor’s degree plus 2 years of professional experience.
Logistics
- Term: Fixed-term, 90 days (full-time, typically 40 hours/week, Monday–Friday).
- Classification: Hourly, non-exempt; hourly rate stated as $17/hour (dependent on qualifications/experience).
- Location: Falmouth, Massachusetts — onsite, hybrid, or remote options noted.
- Desired start date: March 31, 2026.