Los Alamos National Laboratory Jobs

ase send an email to <a href="mailto:applyhelp@lanl.gov">applyhelp@lanl.gov </a>or call 1-505-665-44
d circumstances. See <a href="https://www.directives.doe.gov/directives-documents/400-series/0472.2-BOrder">DOE Order 472.2 </a>for additional infor
ct Sara Del Valle at <a>sdelvall@lanl.gov </a>. To apply, please u
to Laboratory policy <a href="http://int.lanl.gov/policy/documents/P701.pdf">P701 </a>for applicant eligib

Job Information

Los Alamos National Laboratory Computer Scientist in Data Analytics (Scientist 3) in Los Alamos, New Mexico

Vacancy Name: IRC72481

Description

Job Title Computer Scientist in Data Analytics (Scientist 3)

Location Los Alamos, NM, US

Organization Name A-1/Information Systems and Modeling

What You Will Do Come join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary research institutions engaged in strategic science on behalf of national security. The work we do at Los Alamos National Laboratory (LANL) matters to our country and the world. The Information Sciences and Modeling group (A-1) is looking for outstanding scientist candidates in the fields of machine learning, computational science, and data science. The researcher will lead and support projects that focus on solving difficult problems related to data fusion, modeling, and forecasting of emerging events using large-scale heterogeneous data streams. The candidate is expected to work in an interdisciplinary environment with significant collaborative research. A successful candidate is expected to publish in peer reviewed journals, present their research at conferences and workshops, manage, contribute, and develop programs in these areas. This position is part of A-1’s Data Analytics Team. The Data Analytics Team performs basic and applied research focused on infectious disease modeling and forecasting, political instability modeling and forecasting, predictive analytics for national security applications, and large-scale data analytics. Our expertise covers statistical modeling, machine learning, dynamical systems, data modeling, graph theory, optimization techniques, agent-based simulations, high-performance computing, natural language processing, and data fusion. We ensure the scientific and technological validity of our approaches by working closely with physicists, mathematicians, statisticians, computer scientists, economists, remote sensing scientists, political scientists, and public health officials through interdisciplinary collaborations. Our typical customers include HHS, DOD, and internally funded projects.

What You Need

Minimum Job Requirements:

  • A record of high impact, innovative research as demonstrated by recent publications in peer-reviewed journals, patents, or contributions to major reports in one or more of the following areas: machine learning, mathematical modeling and forecasting, computational science, or data science

  • Demonstrated ability to contribute to proposals for multi-year projects

  • Demonstrated ability to develop and sustain strategic collaborations and partnerships with other leading organizations

  • Demonstrated ability to work effectively in a collaborative and multi‐disciplinary scientific environment

  • Project management and program development skills

  • Experience mentoring and managing junior staff

  • Demonstrated excellent oral and written skills

  • Demonstrated ability to work on projects with regular deliverables and hard deadlines

  • Ability to obtain a DOE Q and SCI security clearances, which typically requires U.S. citizenship

Desired Skills:

  • Experience in solving practical science problems, especially in the context of large-scale data analytics

  • Software development expertise in languages such as Python, R, C++, or MATLAB

  • Experience implementing current software engineering best practices, including CI/CD

  • Experience writing high-quality performant parallel code on high-performance computing platforms

  • Statistical modeling experience in machine learning, anomaly detection, and Bayesian inference on real-world datasets

  • Experience in mathematical modeling and forecasting

  • Experience with commercial and open‐source tools such as TensorFlow, PostgreSQL, gensim or NLTK, Apache Spark, scikit-learn, GitLab, CPLEX

  • Experience developing production-quality websites using current industry best practices (e.g., REST back-ends, React/Angular front-ends)

  • Experience producing publication-quality visualizations (data exploration, model results, etc.)

Education: Requires an advanced degree in computer science, data analytics, information science, or a related field. A Ph.D. is preferred.

Notes to Applicants: For further questions, please contact Sara Del Valle at sdelvall@lanl.gov . To apply, please use the “apply now” button below. Include a letter addressing how you meet the requirements outlined above and describing your research interests and a CV with 3 references listed.

Additional Details:

Clearance: Q/SCI (Position will be cleared to this level). Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements

  • for access to classified matter.

  • 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 additional information.

New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing.

Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.

Internal Applicants: Please refer to Laboratory policy P701 for applicant eligibility.

Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, 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 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 1-505-665-4444 option 1.

Where You Will Work

Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.

Located in the beautiful Jemez Mountains of northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. Los Alamos provides access to activities like hiking, mountain biking, skiing, rock climbing, and camping and a local public school system that is consistently ranked amongst the best in the nation every year. Los Alamos is located only 40 miles from Santa Fe, a center for arts, culture, and cuisine.

Appointment Type Regular

Regular

Minimum Salary 98900

Maximum Salary 165100

Contact Details

Contact Name Broge, Margaret Ann

Email mbroge@lanl.gov

Work Telephone

Req ID: IRC72481

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