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Software Engineer - Cheminformatics and Computational ...

Experis - Columbus, OH

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Job Description

Principal Scientist – Cheminformatics & Computational Chemistry Location: Columbus OH On-Site Rate: $55hr with benefits | does not include PTO Duration: 12mo contract to hire Candidates: US Citizens or GC Holders Position Summary We’re seeking a technically accomplished and visionary Principal Scientist to lead cheminformatics and computational chemistry initiatives. This role combines deep scientific expertise with advanced software engineering and data informatics skills to drive innovation in chemical information processing, molecular modeling, and digital transformation. You’ll lead cross-functional teams of scientists and developers, architect scalable platforms, and help shape the strategic direction of cheminformatics across the organization. Key Responsibilities Lead the design and development of cheminformatics tools, APIs, and software that enhance chemical data workflows and content pipelines. Apply advanced computational chemistry techniques to model stereochemistry, coordination chemistry, and molecular interactions. Architect reusable frameworks for chemical data processing, search, and visualization. Collaborate with scientists, product owners, and developers to deliver high-impact solutions in Agile environments. Mentor and lead a multidisciplinary team of scientists and engineers. Champion best practices in test automation, CI/CD, and observability across cheminformatics platforms. Qualifications PhD or Master’s in Chemistry, Cheminformatics, Computational Chemistry, or related field (Bachelor’s with exceptional experience considered). 10+ years of experience in cheminformatics, computational chemistry, or scientific software development. Strong programming skills in Java, Python, and JavaScript with experience in libraries such as RDKit or Open Babel. Familiarity with MEAN/MERN stacks, AWS, Docker, Git, Jenkins, and automated testing frameworks. In-depth understanding of stereochemistry, coordination chemistry, and molecular modeling. Proven success leading cross-functional scientific and technical teams. Strong communication and analytical problem-solving skills. Preferred Skills Experience applying AI/ML to chemical data analysis. Familiarity with cloud-native architectures and scalable data infrastructure. Knowledge of connection table algorithms and chemical structure processing. Passion for mentoring and continuous learning.  

Created: 2025-11-01

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