Los Alamos National Laboratory Ph.D. Statistician (Scientist 2/3) in Los Alamos, New Mexico
What You Will Do
This position will be filled at either the R&D Scientist 2 or 3 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 successful candidate will actively participate in collaborative projects and research activities and will benefit from peer review and mentoring by established statisticians. The position will promote development in statistical practice and in the profession of statistics.
Scientist 2 ($89,900 - $148,300)
The successful candidate will:
Contribute to innovation in statistical methodology
Advance applications through rigorous statistical modeling and analysis in basic and applied science as well as national and global security problems
Participate in professional activities, including peer-reviewed publications, presentations, and service to the statistics community
Scientist 3 ($98,900 - $165,100)
In addition to the duties outlined above, the Scientist 3 will be required to:
Initiate and develop new projects and proposals
Mentor students and postdocs
What You Need
Minimum Job Requirements:
Ph.D. in Statistics.
Capability in research, development, and application of methods in statistics.
Ability to collaborate on development of methodology and applications of statistics in science, technology, and engineering.
Ability to communicate methods and technical results to both statistical and non-statistical audiences.
Strong statistical computing skills including experience using software for statistical programming and advanced statistical analysis (e.g., R, MATLAB, Python).
Additional Job Requirements for Scientist 3
In addition to the Job Requirements outlined above, qualification at the Scientist 3 level requires:
Demonstrated development and application of advanced and novel statistical methods.
Proven statistical research record demonstrated by journal publications and technical reports.
Demonstrated record of presenting research results in scientific settings.
Experience working with interdisciplinary scientific teams.
Track record of developing successful collaborative research proposals.
History of publication, peer review, and professional service in the field of statistics.
Demonstrated scientific accomplishment and expertise in one or more technical areas of the CCS-6 group.
Experience with statistical applications in the physical and engineering sciences.
Familiarity with scientific computing (e.g., C/C++, Python) and high-performance computing, such as using MPI or shared memory programming.
Experience in reliability and industrial statistics.
Education Required: Ph.D. in Statistics
Notes to Applicants:
Please submit a CV and a detailed cover letter that addresses your qualifications with your application.
Applications will be considered while this job ad is open, but first priority will be given to applications received by September 1.
Clearance: Q ( 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 firstname.lastname@example.org or call 1-505-665-4444 option 1.
Where You Will Work
Located in northern New Mexico, Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national and global security. Our workforce enjoys a collegial work environment focused on creative problem solving. We are committed to work-life balance, as well as both personal and professional growth. We consider our creative and dedicated scientific professionals to be our greatest assets, and we take pride in cultivating their talents, supporting their efforts, and enabling their successes. Los Alamos, New Mexico, enjoys excellent weather, clean air, and outstanding public schools. Los Alamos is a safe, low-crime, family-oriented community with concerts and events as well as quick travel to many top ski resorts, scenic hiking and biking trails, and easy access to a range of recreational pursuits. Many employees enjoy the proximity to the nearby state capital, Santa Fe, which is known for world-class restaurants, art galleries, opera, and cultural events.
Statisticians in the CCS-6 Statistical Sciences group work in partnership with world-leading scientists in a wide range of science, technology, and engineering domains, contributing to novel and high-impact projects. The group was formed in 1967 and includes 25 Ph.D. statisticians, including several ASA fellows, as well as supporting personnel, visiting faculty, students, and postdocs. The group is recognized for research and applications in many areas of statistical methodology, including Bayesian methods, validation and uncertainty quantification of computer models, design and analysis of experiments, reliability, sample planning, analysis of measurement systems, Monte Carlo and computer-intensive methods, spatial modeling, statistical computation, statistical graphics and visualization, and statistical learning.
The CCS-6 group staff profiles can be explored at stat.lanl.gov .
Contact Name Broge, Margaret Ann
Vacancy Name: IRC78672
Organization Name CCS-6/Statistical Sciences
Req ID: IRC78672