Software Developer | Scientific Computing Engineer

As a key contributor within a high-stakes scientific ecosystem, you will engineer the foundational infrastructure that powers advanced molecular simulations and generative AI initiatives. Your mission is to decouple technical friction from scientific inquiry, building resilient, high-throughput software environments that enable researchers to interrogate chemical space at unprecedented scales. This role demands a systematic approach to technical synthesis, ensuring that every integration, pipeline, and automated workflow drives meaningful progress in therapeutic innovation., * Orchestrate and sustain sophisticated software ecosystems, ensuring the continuous availability and resilience of tools critical to drug discovery and neural network modeling.

• Engineer bespoke cheminformatic workflows and data analysis sequences that automate the ingestion and interpretation of complex molecular datasets.
• Formalize and deploy scientific data pipelines, establishing seamless integrations with external high-performance computing (HPC) services and third-party data providers.
• Synthesize comprehensive technical documentation to codify system architecture, ensuring long-term maintainability and knowledge transfer within the research group.
• Optimize the end-user computational environment by identifying and mitigating performance bottlenecks in the scientific software stack.

• Algorithmic Proficiency: Advanced command of Python for the automation of intricate scientific workflows, with a strong preference for candidates capable of low-level optimization in C++.
• Architectural Philosophy: A deep-seated commitment to improving computing environments through a "Systems-First" mindset, particularly concerning generative and agentic AI frameworks.
• Infrastructure Mastery: Extensive experience navigating and managing Linux/UNIX environments, including the deployment and troubleshooting of specialized scientific software suites.
• Functional Expertise: Proven ability to manage and manipulate vast chemical databases, ensuring data integrity across computational drug discovery platforms., * Educational Foundation: An advanced degree (Ph.D. or Master's) in a STEM discipline with a heavy emphasis on computational methods, structural biology, or machine learning.
• Mathematical Rigor: Demonstrated ability to apply mathematical logic and statistical rigor to the development of software solutions.
• Research Impact: A track record of academic or professional excellence in refining the tools of discovery, specifically where code intersects with physical or biological systems.

This engagement focuses on the critical intersection of Computational Drug Discovery and Foundational Machine Learning, requiring a practitioner who operates at the nexus of molecular modeling and high-performance software engineering. StaffRight Associates is seeking an individual with an elite academic pedigree possessing a Ph.D. or Master's in Computer Science, Computational Chemistry, or a related quantitative field.who maintains a first-principles mastery of algorithmic efficiency.