What You Will Do

The Center for Integrated Nanotechnologies (CINT) at Los Alamos National Laboratory (LANL) invites outstanding candidates for a data scientist position. CINT is a national user facility funded by the DOE Office of Science to provide research capabilities in nanoscience and nanointegration to a worldwide community of users. CINT is organized around four Science Thrusts: In-Situ Characterization and Nanomechanics (ICNM); Nanophotonics and Optical Nanomaterials (NPON); Quantum Materials Systems (QMS); and Soft, Biological and Composite Nanomaterials (SBCN). CINT fosters high-impact research supported by expertise spanning synthesis/fabrication, characterization, and theory/modeling. Its staff members aim to advance both scientific knowledge and next-generation technique development. The selected scientist will be a member of CINT's ICNM thrust and will interface with user projects in all four scientific thrusts and LANL's Electron Microscopy Laboratory (EML). Additional information on the user facility is available at https://cint.lanl.gov.

Important criteria for the successful staff member will be:

• innovating automation of experimental dataset transfer to/from open databases,

• transforming the operation mode of existing complex instruments to enable remote usage, and

• introducing new file formats to make proprietary datatypes openly accessible to users.

The selectee will be responsible for developing portable and accessible workflows for users requiring access to large, complex datasets that include:

• Scanning/transmission electron microscopy

• In-situ movies

• Optical spectroscopy

• Electrical/thermal transport

• Mechanical testing profiles

• X-ray analysis

Using large data computational algorithms and AI, the scientist will collaborate with other CINT Staff and CINT Users to perform cutting-edge integrated theory/experiment/computation projects. Contributes to the development of intellectual breakthroughs leading to journal papers, copyrights and/or patents, technical reports, proposals, etc. Communicates results through appropriate channels. At the PhD level, the candidate will also develop and maintain an independent research program. This new staff member should have a strong background in data science, open-source software creation, and automation. Taken together, the position requires both independence and collaboration in a team-oriented environment combining experimentalists and theorists with an emphasis on exceptional user support. Support will be at either 0.50 FTE or 1.00 FTE depending on circumstances.

What You Need

Minimum Job Requirements:

• A complete application package will consist of a Cover Letter, CV, and the names of 3 professional references. Applicants are expected to submit a detailed cover letter addressing how they meet the minimum job requirements and relevant desired skills (in bullet point format), and the contact information for at least three professional references.

• 4 years of experience in data science or engineering, open-source software creation, coding and automation.

• 4 years' experience Innovating automation of experimental dataset transfer to/from open database

• 4 years' experience transforming the operation mode of existing complex instruments to enable remote usage

• 4 years' experience introducing new file formats to make proprietary datatypes accessible to users

• 4 years of experience contributing to journal papers, copyrights and/or patents, technical or research reports, and proposals.

• Demonstrated ability to work creatively and independently in collaboration with large interdisciplinary research teams.

• Demonstrated ability to communicate effectively in oral and written English, both technically and interpersonally.

Education/Experience: 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.

Desired Qualifications:

• MS or PhD in Engineering, Physics, Materials Science, Computer Science, Chemistry, or closely related discipline.

• Design of accessible human- and machine-readable file formats compatible with various file types and structures that interfaces with open source software such as python.

• Demonstration of the integration of experimental instruments with data repositories accessible to users. Experience with making large datasets accessible to users with, for example, integration of computational data and workflows or background in automation and robotics.

• Demonstrated potential to build a mechanism for allowing users to access to raw data and giving users the ability to log in remotely and process their data.

• Potential for leading consultation with the host lab on automating instruments into remote control variants and building custom scripts for instrument control modification including algorithms accessible to remote users.

• Strong scientific/ engineering record in the general area of database integration and large data software analysis package creation as demonstrated by publication in high impact factor journals, strong citation of published work quantified through total citation count and Hirsch-index, and recognition through national or international honors and awards. Strong potential for attaining national and international stature in her/his field of research.

• Demonstrated contributions to the area of large data related to nanomaterials and condensed matter physics. Demonstrated ease of collaboration with experimentalists. Leadership potential in a subfield of in-situ characterization. Basic experience with team building and proposal writing. Ability to integrate with a premier U.S. National Laboratory and DOE culture. An understanding of LANL's research portfolio and its mission. Able to foster an environment of creativity and intellectual vibrancy. Track record of multidisciplinary approach to research.

Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Position commitment: 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.

Note to Applicants: A complete application package will consist of a Cover Letter, CV, and the names of 3 professional references. Applicants are expected to submit a detailed cover letter addressing how they meet the minimum job requirements and relevant desired skills (in bullet point format), and the contact information for at least three professional references.

For further technical information or questions, please contact the ICNM Thrust leadership Dr. Michael Pettes (pettesmt@lanl.gov) and Dr. Nan Li (nanli@lanl.gov). Applications will be reviewed until the position is filled.

Where You Will Work

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)

• Functional Job Title External Assignments Program Professional

Additional Details

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.

No Clearance: 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. 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.

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

Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.

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 regard 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 1-505-664-6947 option 2.