Los Alamos National Laboratory is a multidisciplinary research institution engaged in science and engineering on behalf of national security. The Statistical Sciences Group at Los Alamos National Laboratory is looking for excellent candidates who seek to develop a career in research, development and collaborative application of statistical methods. The Statistical Sciences Group works in partnership with world-leading scientists in a wide range of science, technology and engineering areas.
The successful candidate will actively participate in collaborative projects and research activities and will have experience in a broad cross section of statistics. Our group develops and uses methods from areas such as spatial statistics, time series, machine learning, reliability, design of experiments, computer experiments, Bayesian methods, functional data analysis, stochastic processes, hierarchical models, industrial statistics, uncertainty quantification, data fusion, graphical models, advanced regression techniques and statistical computing.
Duties of this job include contributing to innovation in statistical methodology; advancing basic and applied science through rigorous statistical modeling; addressing statistical challenges in national and global security; initiating and developing new projects and proposals; mentoring students and postdocs; and participating in professional activities, including peer-reviewed publications, presentations and service to the statistics community.
This position will be filled at either the Scientist 2 or Scientist 3 level, depending on the experience of the selected candidate. Additional job responsibilities will be assigned if the candidate is hired at the higher level, appropriate to the requirements listed below.
Requirements for Scientist 2
Ph.D. in Statistics or equivalent training and experience
Ability to obtain a DOE Q Clearance
Capability in research, development and application of methods in statistics
Experience in collaborating with subject matter experts and other statisticians to solve problems in challenging domains
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, Julia)
Additional Requirements for Scientist 3
On-the-job experience beyond PhD and postdoctoral training
Record of technical leadership, independence and accountability
Substantial record of achievement through publications, presentations or technical products
Track record of developing collaborative research proposals
History of professional engagement through peer review and service to the field of statistics
Demonstrated scientific accomplishment and expertise in one or more relevant technical areas
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
We Are Delivering Scientific Excellence
Los Alamos National Laboratory is more than a place to work. It is a catalyst for discovery, innovation and achievement. It’s one of the reasons we attract world-class talent who contribute greatly to our outstanding culture. Professional development, work/life balance and a diverse and inclusive team foster lasting career satisfaction. Our onsite cafeterias and medical, fitness and breastfeeding facilities, education assistance and generous compensation and benefits reflect our commitment to providing our people with all they need for personal and professional growth.
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.