Job Purpose

Design, develop, and maintain detection and identification algorithms for CSES technologies through multivariate data analysis, chemometrics, predictive modeling, artificial intelligence, and machine learning.

Key Accountabilities

- Performs data analytics, specifically data clean-up, data processing, predictive modeling, chemometric statistical modeling and analysis, multivariate data analysis, artificial intelligence, machine learning, and/or data mining, as related to scientific data

- Plan and execute work related to data pre-processing routines, data clean-up scripts, predictive analytics, data summarizations, data visualizations and plotting, development and application of machine learning and artificial intelligence models, and development of detection algorithms

- Develop and maintain operational integrity of computational assets

- Prepare and maintain documentation related to computer code / scripts, including end user guides and instructions

Knowledge – Skills – Abilities

- Minimum Master’s degree in Chemistry, Biology, Physics or related field, Ph.D. Preferred

- Must be eligible to obtain and/or maintain a U.S. Government Security Clearance commensurate with the level of facility clearance

- Proficiency in performing data analytics, specifically chemometrics, predictive analytics, machine learning, multivariate data analysis, predictive analytics, and/or data mining as it related to chemical, biological, biochemical, or other scientific data

- Working to expert level knowledge of one or more analytical/physical analysis methods including: chromatography, mass spectrometry, optical spectroscopy, proteomics, genomics, or other biochemical analysis methods

- Software programming/scripting proficiency in R, Python, Java, and/or MATLAB

- Ability to plan sequence of experiments to answer complicated technical questions

- Previous research and development experience related to chemical, biological, radiological, nuclear, and/or explosive (CBRNE) threats

- Experience in developing instrumentation based on vibrational spectroscopy

- Working knowledge of software development practices such as version control systems (e.g., Git) and Agile development

- Working knowledge of statistics, experimental error, and quantification as it applies to scientific data

- Excellent written and verbal communication skills

- Ability to communicate technical information to non-technical audiences

- Ability to work independently and to interact effectively with individuals on multi-disciplinary teams

Additional Preferred Capabilities

- Development of detailed optical specifications for spectroscopic instrumentation

- Development of interface software required to command and control excitation and imaging subsystems

- Capable of defining, assembling, and testing optical component breadboards for spectroscopic applications

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