Data Science Researcher (Scientist 2 or 3)

Los Alamos National Laboratory - Los Alamos, NM (30+ days ago)4.3


Organization NameCCS-3 / Information Sciences
What You Will Do

The Computer, Computational, and Statistical Sciences (CCS) Division is a scientific research and development organization working in five principal mission areas of Los Alamos National Laboratory: basic science and technology research, climate and energy, global security , nuclear weapons, and information science and technology. CCS Division is comprised of scientists focused on impactful research and development in fundamental computer science, computational physics, statistics, and applied mathematics. CCS Division bridges the computational sciences that are central to scientific discovery and innovation, working with external partners and Laboratory programs to solve complex and fundamental problems ranging from metagenomics to nuclear energy.

The Information Sciences Group (CCS-3) is seeking research scientists with a solid understanding of data science – machine learning, inference in the realm of very large or very small sample sizes, first-principles (physics informed) model development, parameter estimation, model selection, experimental design, compressive sensing, etc. – coupled with a strong set of computational skills to bring new and novel data science algorithms to fruition on state-of-the-art computing platforms. We seek candidates that can conceptualize, design, build, deliver, and apply next-generation computational tools for prediction and scientific discovery while integrating a thorough understanding of the underlying mechanism generating the data.

The successful candidate is expected to be a self-starter, given initial direction and requirements from technical project leads, and to work as part of a collaborative, multidisciplinary team to support a variety of programmatic initiatives (including but not limited to material science, climate modeling, predictive medicine, cybersecurity, image analysis).

This position will be filled at either the Scientist 2 or 3 level, depending on the skills of the selected candidate. Additional job responsibilities will be assigned if the candidate is hired at the higher level.

What You Need

Minimum Job Requirements:
Scientist 2 ($87,800-$144,800)

Demonstrated research experience in data science, emphasizing the elements and problem domains mentioned above
Evidence of strong programming abilities using high-level languages such as C, C++, and/or Python
Demonstrated research ability, as evidenced by publications, reports, and presentations
Excellent communication skills, as evidenced by publications and cover letter
Evidence of strong interpersonal skills and ability to collaborate effectively in a team environment
Additional Job Requirements for Scientist 3 ($96,600-$161,300):

In addition to the Job Requirements outlined above, qualification at the Scientist 3 level requires:

Demonstrated record of successful proposal writing and program development
Experience in leading research and development in support of programs or R&D initiatives
Experience mentoring students and/or postdocs
Demonstrated technical leadership in fields related to data science capabilities

Desired Skills:
Active Q clearance, or alternatively the ability to obtain a Q clearance
Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods
Education: PhD in Electrical/Computer Engineering, Computer Science, Statistics, Mathematics, or related field from an accredited college or university, or an equivalent combination of education and experience.

Notes to Applicants:
Please include a CV with a publication list and a detailed cover letter that describes your research interests and addresses your qualifications and how those qualifications meet the job requirements.

Work on some of the group’s projects requires staff to hold a Q clearance. 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.

Additional Details:
No Clearance: This position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.

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.

Appointment TypeRegular Regular Minimum Salary Maximum Salary