Computer Scientist (Scientist 1/2)
Los Alamos National Laboratory
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Benefits offered by this job
Job summary
Los Alamos National Laboratory is seeking a Database Engineer/Computer Scientist to modernize surveillance and predictive analytics through scalable data infrastructure and AI-enabled technologies. The role will be filled at Scientist 1 or 2 level based on candidate skills, with responsibilities expanding at higher level.
The position emphasizes relational/non-relational databases, data modeling, SQL/Python data pipelines, and collaboration across engineering, science, analytics, and software
Qualifications
- Experience designing, developing, managing, or optimizing relational and/or non-relational database systems, including data modeling, schema design, query development, indexing, and performance tuning.
- Proficiency with SQL and Python, with experience developing automated data pipelines, ETL/ELT workflows, data integration processes, or model-ready datasets.
- Familiarity with AI/ML workflows, predictive analytics environments, feature engineering, or data preparation practices that support advanced modeling and analysis.
- Experience working with large, complex, or heterogeneous technical datasets, including engineering, scientific, manufacturing, test, surveillance, or system health data.
Responsibilities
- Support the design, development, and maintenance of database systems for engineering and surveillance data
- Develop, maintain, or improve data pipelines to ingest, clean, structure, validate, and integrate datasets from multiple sources
- Support AI/ML and advanced analytics applications by preparing, organizing, and improving datasets for predictive modeling, reporting, or analysis
- Assist with implementing efficient data storage, retrieval, and query solutions for technical datasets
- Collaborate with engineers, analysts, and scientists to develop integrated data solutions supporting predictive surveillance and system health monitoring
- Develop or maintain tools and workflows to correlate data across components, assemblies, and assets
- Support data integrity, security, accessibility, and long-term maintainability of database systems
- Support visualization, reporting, and analytical tools that enable actionable technical insight
Skills
Education
Tools
Job description
This position is open for external candidates only to apply.
This position will be filled at either the Scientist 1 or 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.
Scientist 1 $96,600- $158,000
Scientist 2 $106,400- $176,000
Los Alamos National Laboratory is seeking a highly motivated Database Engineer/Computer Scientist to help modernize and transform surveillance and predictive analytics capabilities through scalable data infrastructure, advanced analytics, and AI-enabled technologies. This opportunity is well suited for candidates from industry, national laboratories, academia, government or other technical environments who are interested in applying their database and computer science expertise to mission-driven work.
- Support the design, development, and maintenance of database systems for engineering and surveillance data
- Develop, maintain, or improve data pipelines to ingest, clean, structure, validate, and integrate datasets from multiple sources
- Support AI/ML and advanced analytics applications by preparing, organizing, and improving datasets for predictive modeling, reporting, or analysis
- Assist with implementing efficient data storage, retrieval, and query solutions for technical datasets
- Collaborate with engineers, analysts, and scientists to develop integrated data solutions supporting predictive surveillance and system health monitoring
- Develop or maintain tools and workflows to correlate data across components, assemblies, and assets
- Support data integrity, security, accessibility, and long-term maintainability of database systems
- Support visualization, reporting, and analytical tools that enable actionable technical insight
Experience designing, developing, managing, or optimizing relational and/or non-relational database systems, including data modeling, schema design, query development, indexing, and performance tuning.
Proficiency with SQL and Python, with experience developing automated data pipelines, ETL/ELT workflows, data integration processes, or model-ready datasets.
Familiarity with AI/ML workflows, predictive analytics environments, feature engineering, or data preparation practices that support advanced modeling and analysis.
Experience working with large, complex, or heterogeneous technical datasets, including engineering, scientific, manufacturing, test, surveillance, or system health data.
Strong analytical, problem-solving, and communication skills, with the ability to work effectively in multidisciplinary technical teams across engineering, science, analytics, and software disciplines.
- Technical Leadership: Experience leading complex technical projects, guiding technical direction, and making independent decisions related to database architecture, data integration, or analytical infrastructure
- Advanced System Architecture: Experience designing scalable, reliable, secure, and maintainable data systems that integrate information across multiple sources
- Strategic Data Integration: Experience developing strategies to integrate diverse engineering, scientific, surveillance, or operational datasets in support of analytics, reporting, and decision-making
- Mentorship and Team Coordination: Experience mentoring staff, coordinating multidisciplinary technical teams, and communicating technical recommendations to leadership, customers, or stakeholders
- Innovation and Capability Development: Experience identifying, evaluating, and implementing data engineering tools, methods, or technologies that improve analytical capability, workflow efficiency, or mission outcomes
Position requires a Bachelor's d degree in a STEM field from an accredited college or university and 2 years of related experience, or an equivalent combination of education and experience directly related to the occupation.
Positions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation.
- Experience in one or more of the following areas is especially valuable:
- Database platforms such as PostgreSQL, MySQL, MongoDB, Neo4j, or similar technologies
- Python data tools such as Pandas, NumPy, SQLAlchemy, PySpark, or related libraries
- Data modeling, schema design, indexing, performance tuning, and query optimization
- Cloud computing, distributed computing, or high-performance computing environments
- AI/ML data preparation, feature engineering, or model-ready dataset development
- Integration of engineering, scientific, manufacturing, test, or surveillance datasets
- Version control and collaborative development tools such as Git
- Visualization, dashboarding, or reporting platforms
- Education or training in computer science, software engineering, data science, information technology, computer engineering, cybersecurity, cloud computing, database systems, or a related technical field
- Oracle Certified Professional
- Microsoft Certified - Azure Database Administrator Associate
- Active Q clearance, or the ability to obtain an active Q clearance
The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
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. Our generous benefits package includes:
- 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)
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Q (Position will be cleared to this level). 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. This position requires a Q clearance, and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
- Eligibility requirements: 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
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, 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.
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.
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