Geospatial​/Scientific Software Engineer

Title: Geospatial/Scientific Software Engineer

Responsible to: Earth Gravity Model Team Lead

Location: Burlington VT, or 100% remote

Appointment: Part-time (20 hours per week, possibly more)

ISciences, L.L.C. is seeking an experienced geospatial/scientific software engineer to support the development of state-of-the-art Earth Gravity Models for a U.S. Federal Government customer.

ISciences is a Burlington, Vermont-based limited liability company founded in 1997. We believe in the power of evidence-based analysis to understand vulnerabilities and achieve sustainability in a rapidly changing world. Our core strength is the ability to integrate expertise in the physical sciences, the social sciences, and information technology to solve our customers’ problems.

ISciences provides strategic, scientific, and technical consulting services to a variety of government, commercial, and non-profit clients in the fields of sustainable development, vulnerability assessment, remote sensing, and geospatial analysis. Our contributions influence policy decisions at some of the world’s largest companies and at the highest reaches of government. ISciences has four principal areas of practice:
Water and Climate, Corporate Sustainability, Remote Sensing, and Human Security.

For more information, visit  To apply, please send a resume and cover letter to  by midnight Sunday, January 18, 2026.

This position will support the development of state-of-the-art Earth Gravity Models for a U.S. Federal Government Customer. Specific responsibilities will include:

• Developing sophisticated geospatial workflows in Python, FORTRAN, GDAL, and GMT to produce high-resolution high-fidelity global digital terrain models (DTMs) from a rapidly evolving ecosystem of scientific data sources.
• Developing forward gravity and residual terrain models (FGMs and RTMs) in Python, FORTRAN, and GMT.
• Identifying, assessing, and assimilating mean sea surface and gravity anomaly data.
• Developing code to intercompare results with ground surveys, characterize errors, and visualize quality of the DTMs, FGMs, and RTMs using Python and GMT.
• Ensuring that all code can run efficiently in multiple computing environments (on-premises, at customer site, on third-party high performance computing platforms).
• Using scientific workflow management systems such as Snake Make or Air Flow to create reproducible and scalable data analyses.
• Publishing methods, and findings in peer-reviewed scientific journals.
• Contributing code to open-source software projects.

Working in a team requires strong communication and interpersonal skills. Applicants must be comfortable working side‑by‑side as well as across geographical locations with their colleagues in a highly collaborative environment. Active and self‑initiated learning is expected to find innovative solutions to complex technical problems, streamline workflows, enhance collaboration, and project management.

• Ability to work on US Government contracts in the USA.
• Bachelor’s degree plus ten years of work experience, master’s degree plus eight years of work experience, or Ph.D. plus six years of work experience in a relevant field such as earth/environmental science, geology, physics, civil engineering, computer science, mathematics, natural resource management, or statistics/data science.
• Proficiency in programming languages such as Python and FORTRAN; and willingness to learn new programming languages (e.g., Julia, Rust, C++) as needed.
• Working knowledge of scientific, geospatial, and statistical data processing and visualization practices and methods, specifically vertical datum translation, spatial and temporal interpolation, harmonic analysis (e.g., FFT, wavelets), anomaly detection, and bias correction.
• Working knowledge of relevant spatial software libraries and applications such as GDAL, GMT, and QGIS. Willingness to learn new libraries and frameworks as needed.
• Working knowledge of source control and collaboration tools such as git, Git Hub, Git Lab, Wikis, and Rocket Chat.
• Experience writing/maintaining CI/CD pipelines using tools such as Git Hub Actions, Git Lab CI, or Jenkins.
• Experience with cloud computing environments such as AWS, Azure, and Google Cloud; and containerization tools such as Docker.
• Experience with high-performance computing environments.
• Experience working on Unix and/or Linux platforms.
• Excellent written and verbal communications, including public speaking.

• Active U.S. public trust, HSPD-12, or national security clearance.
• Working knowledge of ellipsoidal harmonic analysis (including wavelets and needlets).
• Prior experience developing scientific and/or data management software for U.S. government scientific agencies.
• Experience with high volume scientific data repositories.

Competitive salaries and benefits, with flexible work schedules.

ISciences is an Equal Opportunity Employer.