> Markdown version of [/jobs/ext/3974468-software-developer-scientific-computing-for-drug-discovery](https://www.wearedevelopers.com/jobs/ext/3974468-software-developer-scientific-computing-for-drug-discovery). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Developer - Scientific Computing for Drug Discovery - **Company:** StaffRight Associates - **Location:** New York, NY, United States (Remote available) - **Salary:** $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Databases, Python (Programming Language), Machine Learning, Molecular Modeling, Scientific Computating, Software Engineering, Enterprise Software Applications, Parallel Computation, Information Technology, Data Pipelines - **Published:** October 27, 2026 - **Apply:** https://www.dice.com/job-detail/9127cbea-5908-4181-ad01-ebae28a0245b ## About the Role * Strong programming ability in Python and C++ * Fluency with Linux/UNIX tools * Substantial hands-on work with Cheminformatics software packages, for example in Virtual Screening and Docking, Computer-Aided Small Molecule Design, Molecular Modeling, or engineering Large-Scale Chemical Databases * Curiosity, range, and a demonstrated record of accomplishment. The client weighs these qualities above specialized knowledge in any of the areas below. * Helpful additional expertise: Workflow Engineering, software development for Cluster Architectures, High-Performance Data-Parallel Computing, and Systems Software, Developers with training in Computational Chemistry, Cheminformatics, Computer Science, Computational Biophysics, or Scientific Computing will find much of that background put to use here. Candidates whose doctoral or postdoctoral work centered on building research software, running large-scale simulations, or engineering molecular data pipelines will recognize the problems this team works on. ## Description * Develop systems for managing and analyzing scientific data at large scale. * Architect scalable backend services that underpin the team's computational work. * Prototype and deliver visualization software that helps scientists interpret their results. * Partner with researchers and engineers across chemistry, biology, computer science, and machine learning on the software and infrastructure behind the client's drug discovery and AI programs. * Own the ongoing support and refinement of the tools and systems you create.