Assistant Research Scientist (PREP0003640)

General Description. This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. Employees in this position will perform technical work that underpins the scientific research of the collaboration. The role is for a graduate student level researcher or recent PhD graduate experienced in applied data science to work jointly with mathematicians and experimentalists at NIST to study forensic chemometrics and uncertainty quantification in identification and classification in mass spectrometry. A goal of this work is to develop improved classification and identification algorithms in analytical chemistry and incorporate uncertainty quantification into models to provide useful information. Key Responsibilities Implementing optimized calculations to study AI classification algorithms. Assessing uncertainty in classification of experimental data. Computationally testing mathematical models relating uncertainty quantification. Significant software development (most likely python). Disseminating results through posters/seminars at meetings and seminars. Ensuring that all results, findings, data, software, etc. have been correctly archived and transmitted through appropriate channels. Qualifications Either completed master’s degree or PhD in data science or related field. Minimum of 1 year of experience conducting data science research. Significant coursework in mathematics, statistics and/or computer science. Knowledge of or interest in acquiring knowledge of chemistry and chemometrics methods. Familiarity with larger computational and AI/ML software packages. Ability to program in a modern computational language (e.g., python). Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. The university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check including education verification. #J-18808-Ljbffr Johns Hopkins University