Data Analyst / Process Simulation Modeler (R&D Engineer 1/2)
Los Alamos National Laboratory
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Benefits offered by this job
Job summary
Los Alamos National Laboratory in New Mexico is seeking engineers to support PAT-1 in manufacturing analytics, modeling, and decision‑support tool development. The role may be filled at R&D Engineer 1 or 2 depending on candidate skills.
Candidates will work with data scientists and engineers to build dashboards, simulate processes, and translate analyses into actionable recommendations for leadership.
Qualifications
- Experience applying problem-solving techniques to data, results, and/or simulations
- Analysis skills to compile and interpret data and present results with statistical concepts
- Ability to translate elicited data into effective requirements and planning assumptions
- Effective written and oral communication with subject matter experts and stakeholders
- Ability to work in a multidisciplinary team
Responsibilities
- Develop decision‑support tools that synthesize production and facility data into metrics and visualizations
- Process, structure, and analyze large and diverse operational datasets
- Design and implement discrete‑event simulation models to evaluate process behavior and changes
- Integrate analytics outputs into dashboards and executive‑level reporting
- Collaborate with subject matter experts to define problem statements and validate assumptions
Skills
Education
Tools
Job description
This position will be filled at either the R&D Engineer 1 or R&D Engineer 2 level, depending on the skills of the selected candidate. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.
The Manufacturing Focused Analysis Group (PAT-1) within the Associate Laboratory Directorate for Weapons Production (ALDWP) at Los Alamos National Laboratory is seeking highly motivated Engineers to support mission-critical manufacturing operations through advanced analytics, modeling, and decision‑support tool development.
PAT-1 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. Our work enables informed decision‑making that directly influences mission execution. Our team integrates engineering, data science, and operations research approaches to translate complex production environments into actionable insight.
- Develop decision‑support tools that synthesize production and facility data into meaningful metrics and visualizations
- 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
In addition to our primary focus areas, PAT-1 contributes 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. These efforts support long‑term modernization and enhanced situational awareness across production operations.
Successful candidates will work in a highly collaborative, cross‑disciplinary environment composed of engineers, data scientists, and analysts from diverse technical backgrounds. Team members engage directly with manufacturing organizations and senior decision makers, translating technical analyses into clear, defensible recommendations that impact operational outcomes.
- Experience applying problem‑solving techniques to data, results, and/or simulations
- Analysis skills, including the ability to compile and interpret data utilizing an understanding of statistical concepts and applications, and the ability to clearly present analysis results
- The ability to translate elicited data into effective requirements and planning assumptions
- 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 work effectively as part of a team in a multidisciplinary environment
In addition to the outlined requirements at the R&D Engineer 1 level, the minimum requirements at the R&D Engineer 2 level include:
- Demonstrated technical experience in an engineering discipline, as applied to projects spanning one or more of the key areas of the group (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
- Demonstrated ability to mentor junior staff and peers in their technical and professional growth
- Experience leading analyses, design/development, or research in support of projects
Education & Experience at lower level: Position requires a Bachelor's Degree in Engineering and 2 years of related experience; or an equivalent combination of education and experience directly related to the occupation.
Education & Experience at higher level: Position requires a Bachelor's Degree in Engineering and 4 years of related experience; or an equivalent combination of education and experience directly related to the occupation.
- 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
- Experience with Model Based Systems Engineering (MBSE)
- Familiarity with digital twin development/integration
- Experience with computer programming languages and coding principles
- Familiarity with databases and working with large datasets (SQL, Access, Pandas, etc.)
- Familiarity with processing data using statistics and visualization techniques (JMP, R, Python, MicroStrategy, Power BI, etc.)
- An advanced degree is desired at the higher job level
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security.
- PPO or high deductible medical insurance with the same large nationwide network
- Dental and vision insurance
- Free basic life and disability insurance
- Paid childbirth and parental leave
- Award‑winning 401(k) (6% matching plus 3.5% annually)
- Learning opportunities and tuition assistance
- Flexible schedules and time off (PTO and holidays)
- Onsite gyms and wellness programs
- Extensive relocation packages (outside a 50 mile radius)
This position requires a Q clearance. Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements for access to classified matter.
Eligibility: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
The Laboratory requires successful applicants to complete a new‑employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, the use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre‑offer.
Laboratory employees applying for regular‑status positions are converted to regular status.
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 applicable 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 opt. 3.
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