Computational Scientist

• Modeling and Scientific duties
• Develop and design chemical property estimation algorithms using Quantitative Structure Activity Relationships (QSARs) to elucidate hazard and risk profiles
• Utilize Machine Learning and Artificial Intelligence techniques
• Update and enhance knowledge management applications for CBRN purposes
• Review and curate datasets for incorporation into models and tools
• Apply data science practices in calculation and evaluation of statistical measures
• Software
• Build and expand CBRN databases
• Create modeling and simulation tools and web applications
• Perform software development and integration within an agile development process
• Support software lifecycle activities to include requirements development, software design, development, test, and documentation
• Participate in software design and code reviews to ensure delivery of quality products and enhance skill sets
• Plan and conduct software tests 

• Bachelor’s degree with 6 years of related experience or master’s degree with 3 years or PhD degree with 0 years of experience
• Preferred degrees in chemistry, chemical engineering, biology, toxicology or related discipline
• Applicable training, experience, or dual degree in software development, computer engineering, computer science or related discipline
• Excellent verbal and written communication and presentation skills required
• Monitor, manage and report status of technical work and project progress
• Ability to work independently and on multi-disciplinary engineering teams
• Ability to work in a team of software engineers to efficiently implement, package and deploy a software application

• Familiarity with ISO compliant software development strategies
• Software development experience with C/C++, Java, Javascript, and OOD
• Knowledge of C#/Python/MySQL/Database and Matlab a plus
• Experience using R for model development
• Experience developing AI/ML models for scientific applications
• Experience with common deep learning frameworks (e.g., Tensorflow, PyTorch).
• Demonstrated understanding of agile development process
• Knowledge or experience in one or more of the following disciplines is a plus:
• Chemical property estimation techniques
• Quantitative Structure Property Relationships (QSPRs)
• CBRN Modeling and Simulation and Hazard Prediction 

What Sets SRC, Inc. Apart?
SRC, Inc., a not-for-profit research and development company, combines information, science, technology and ingenuity to solve “impossible” problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are redefining possible^®. When you join our team, you’ll be a part of something truly meaningful — helping to keep America and its allies safe and strong. You’ll collaborate with more than 1,400 engineers, scientists and professionals — with 20 percent of those employees having served in the military — in a highly innovative, inclusive and equitable work environment. You’ll receive a competitive salary and comprehensive benefits package that includes four or more weeks of paid time off to start, 10 percent employer contribution toward retirement, and 100 percent tuition support.

Total compensation for this role is market competitive. The anticipated salary range for this position based out of Syracuse, NY is estimated at $73,000 to $84,000 annually. The actual salary will vary based on applicant’s experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website.