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# Remote Software Engineer - Cheminformatics

- **Company:** Insight Global
- **Location:** Upper Providence Township, PA, United States
- **Experience:** Expert
- **Salary:** $141,440.0 - $176,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Python (Programming Language), Scientific Computating, Software Engineering, Data Processing, Java Application Server, Enterprise Software Applications, Codebase, Machine Learning Operations, Code Restructuring, Programming Languages
- **Published:** June 9, 2026
- **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/pennsylvania/upper-providence/remote-software-engineer-cheminformatics/job-538060/

## About the Role

8+ years of software engineering experience, with a focus on scientific or data-intensive applications
-Strong proficiency in Python,
-Proven experience working with Java codebases, including the ability to read, interpret, and refactor legacy Java applications
-Demonstrated experience migrating or refactoring applications across programming languages
-Experience working with scientific data or computational workflows, ideally in:
-Chemistry
-Cheminformatics
-Life sciences / R&D environments

Nice to Have Skills & Experience

Experience with cheminformatics toolkits (e.g., RDKit or similar)
Familiarity with chemical data models, molecular representations, and transformations
Exposure to AI/ML workflows in scientific environments

## Description

The Software Engineer will design and deliver the migration of a Java-based scientific software package to a Python-native implementation, enabling improved usability, integration, and maintainability within modern data and AI workflows. This role focuses on translating existing functionality into idiomatic Python while leveraging equivalent third-party APIs, ensuring functional parity, scientific correctness, and performance. Working at the intersection of software engineering and scientific computing, the engineer will analyse legacy architecture, map cross-language API capabilities, and implement robust, well-tested Python modules and services.
Collaborating closely with domain scientists, cheminformaticians, and platform engineers, the role emphasises clarity of design, reliability, and alignment with Python ecosystem best practices, including packaging, testing, and data handling. Experience in life sciences-particularly chemistry or cheminformatics-is highly valuable, especially where accurate representation of chemical data, transformations, and computational workflows is critical.


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