Description
Data Analyst (R&D Engineer 1/2)
Los Alamos National Laboratory
Los Alamos, NM
Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. The Manufacturing Focused Analysis Group (PAT-1), within the Associate Laboratory Directorate for Weapons Production (ALDWP), partners directly with stakeholders across Weapons Production to help leadership and program teams understand the current state of manufacturing and facility processes, quantify performance, and evaluate the impact of proposed changes. We are seeking an R&D Engineer 1/2 (Data Analyst/Process Simulation Modeler) to support mission-critical manufacturing operations through advanced analytics, modeling, and decision-support tool development. This position will be filled at level 1 or 2 based on the selected candidate’s skills and experience, with additional responsibilities assigned at the higher level. This is a regular, onsite role in Los Alamos, NM, with a salary range as follows:
- R&D Engineer 1: $96,600 - $158,000
- R&D Engineer 2: $106,000 - $176,000
Responsibilities:
- Engage in decision-making that directly influences mission execution through integrating engineering, data science, and operations research approaches to translate complex production environments into actionable insights
- Develop decision-support tools that synthesize production and facility data into meaningful metrics and visualizations and process, structure, and analyze large and diverse operational datasets
- Design and implement discrete-event simulation models to evaluate process behavior and assess the effects of schedule, capacity, staffing, or infrastructure changes
- Integrate analytics and modeling outputs into dashboards and executive-level reporting products
- Collaborate with subject matter experts to define problem statements, validate assumptions, and ensure analytical rigor
- Contribute to emerging capabilities such as digital twin integration (including NVIDIA Omniverse environments), LiDAR data processing and spatial analysis, advanced visualization development, and enterprise dashboard solutions
- Work in a highly collaborative, cross-disciplinary environment composed of engineers, data scientists, and analysts from diverse technical backgrounds in support of long-term modernization and enhanced situational awareness across production operations
- Directly engage with manufacturing organizations and senior decision makers, translating technical analyses into clear, defensible recommendations that impact operational outcomes
Qualifications for R&D Engineer 1:
- Bachelor’s degree in engineering and 2+ years of related experience, or an equivalent combination of education and experience directly related to the occupation
- Experience applying problem-solving techniques to data, results, and/or simulations and translating elicited data into effective requirements and planning assumptions
- Ability to analyze, compile, and interpret data utilizing an understanding of statistical concepts and applications and clearly present analysis results
- Effective written and oral skills, including the ability to interact with and solicit information from subject matter experts, project customers or clients, and various stakeholders
- Ability to obtain and maintain a DOE Q clearance (U.S. citizenship required)
Additional Qualifications for R&D Engineer 2:
- Bachelor’s degree in engineering and 4+ years of related experience, or an equivalent combination of education and experience directly related to the occupation; advanced degree preferred
- Demonstrated technical experience in an engineering discipline, as applied to projects spanning one or more of the following areas: data analytics, decision support, process improvement, simulation modeling, and analysis
- Demonstrated ability to effectively communicate information to a broad audience through presentations, reports, and verbal communication to technical and management audiences
- Experience leading analyses, design/development, or research in support of projects and ability to mentor junior staff and peers in their technical and professional growth
Desired Qualifications:
- Knowledge of operations research or industrial engineering principles such as process improvement, decision support, process analysis, optimization, data analytics, etc.
- Experience with Discrete-Event Simulation software (Simio, ExtendSim, etc.) and process simulation modeling principles
- Experience with CAD/CAM/CAE and Model Based Systems Engineering (MBSE)
- Experience with computer programming languages and coding principles and familiarity with digital twin development/integration
- Familiarity with databases and working with large datasets (SQL, Access, Pandas, etc.) as well as processing data using statistics and visualization techniques (JMP, R, Python, MicroStrategy, Power BI, etc.)
We Are Delivering Scientific Excellence
Los Alamos National Laboratory (LANL) is a multidisciplinary research institution dedicated to solving the nation’s most critical national security challenges through science, technology, and innovation. As a cornerstone of the U.S. nuclear security enterprise and the nation’s premier plutonium center of excellence, LANL ensures the safety, reliability, and performance of the nuclear stockpile.
(IRC144922)
Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
