Assistant Research Scientist (PREP0004070)
Johns Hopkins University, Baltimore, MD, United States
PREP Research Associate (US Citizen)
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
The position is in the Applied Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, which provides economic products and services through research and consulting to industry and government agencies in support of productivity enhancement, economic growth, and international competitiveness, with a focus on improving the life‑cycle quality and economy of constructed facilities and manufacturing processes that support social and economic functions. AEO is integrated within EL’s major research thrusts. AEO delivers high quality research and tool development that informs and assists stakeholders in their decision‑making processes. The position will collaborate directly with the software development team in EL’s ELDST (Engineering Laboratory Data, Security, & Technology) that oversees AEO’s software development projects.
Research Title
Performance and efficacy of machine learning and artificial intelligence implementation in economics and life cycle system science decision support
Responsibilities
Develop user interfaces for web application
Assist with special software development projects as assigned
Write and implement efficient code
Document code and publish on GitHub
Work closely with other developers
Statistically compare performance across code and tool designs
Draft manuscripts documenting the methodology and results
Qualifications
US Citizen
Master’s degree in Computer Science or related field
At least 2 years of professional experience
At least 1 year as development team lead for at least one web application using the software stacks listed below
Experience with state management in React (RxJS)
Experience working on cloud technologies (AWS, Azure)
Working knowledge of RAG (Retrieval Augmented Generation)
Proficient with integrating one or more LLMs into applications (e.g., OpenAI, Gemini, Llama)
Proficient with HTML, CSS, TypeScript, React, and Python
Proficient using any UI Component libraries (e.g., Ant Design, Material UI, etc.)
Proficient with Node.js
Working knowledge of building quick prototypes using Streamlit (or similar) and LLMs
Proficient with JSON
Proficient with Vite, Nginx, GitHub, Docker, and Portainer
GPU programming or data visualization experience a plus
Evidence of strong oral and written communication skills, including authorship on at least 2 technical publications
Strong logical thinking and problem solving
Excellent attention to detail
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: https://hr.jhu.edu/benefits-worklife/.
Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, 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 characteristic. 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.
Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID‑19 vaccine. The COVID‑19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID‑19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid‑19‑vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health‑safety/covid‑vaccination‑information/.
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This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
The position is in the Applied Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, which provides economic products and services through research and consulting to industry and government agencies in support of productivity enhancement, economic growth, and international competitiveness, with a focus on improving the life‑cycle quality and economy of constructed facilities and manufacturing processes that support social and economic functions. AEO is integrated within EL’s major research thrusts. AEO delivers high quality research and tool development that informs and assists stakeholders in their decision‑making processes. The position will collaborate directly with the software development team in EL’s ELDST (Engineering Laboratory Data, Security, & Technology) that oversees AEO’s software development projects.
Research Title
Performance and efficacy of machine learning and artificial intelligence implementation in economics and life cycle system science decision support
Responsibilities
Develop user interfaces for web application
Assist with special software development projects as assigned
Write and implement efficient code
Document code and publish on GitHub
Work closely with other developers
Statistically compare performance across code and tool designs
Draft manuscripts documenting the methodology and results
Qualifications
US Citizen
Master’s degree in Computer Science or related field
At least 2 years of professional experience
At least 1 year as development team lead for at least one web application using the software stacks listed below
Experience with state management in React (RxJS)
Experience working on cloud technologies (AWS, Azure)
Working knowledge of RAG (Retrieval Augmented Generation)
Proficient with integrating one or more LLMs into applications (e.g., OpenAI, Gemini, Llama)
Proficient with HTML, CSS, TypeScript, React, and Python
Proficient using any UI Component libraries (e.g., Ant Design, Material UI, etc.)
Proficient with Node.js
Working knowledge of building quick prototypes using Streamlit (or similar) and LLMs
Proficient with JSON
Proficient with Vite, Nginx, GitHub, Docker, and Portainer
GPU programming or data visualization experience a plus
Evidence of strong oral and written communication skills, including authorship on at least 2 technical publications
Strong logical thinking and problem solving
Excellent attention to detail
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: https://hr.jhu.edu/benefits-worklife/.
Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, 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 characteristic. 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.
Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID‑19 vaccine. The COVID‑19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID‑19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid‑19‑vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health‑safety/covid‑vaccination‑information/.
#J-18808-Ljbffr