R&D Manager, Computational Data Science
- Sandia National Laboratories
- Location: Livermore, CA
- Job Number: 7142525 (Ref #: 689529)
- Posting Date: 3 months ago
Job Description
Posting Duration: This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time. NNSA Requirements for MedPEDs: If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Salary Range: $158,000
- $268,600 *Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential. What Your Job Will Be Like: Do you want to lead a team of self-starting researchers working at the nexus of machine learning and computational science and engineering? We seek a department manager (Manager, R&D Science and Engineering) for the Computational Data Science Department (8738). You will take on a broad range of responsibilities for technical, programmatic, and personnel management to sustain a robust research program that fuses modeling & simulation with data science to innovate across engineering domains. You will be called on to: + Lead a distributed team of researchers conducting fundamental, open research in new algorithms, e.g., in machine learning, reduced-order modeling, and Bayesian inference, and developing software implementations to prove them out. Anticipate mission challenges in data science and develop team expertise and capabilities to respond. + Partner across the laboratory (especially with computing, engineering, and applied information science centers) and with external partners to conduct research and impact critical national security applications, for example in nuclear deterrence and non-proliferation. Strategically build partnerships to help implement, mature, and deploy our emerging techniques, increasing their TRL and facilitating expedient use across application domains. + Curate the current diverse funding portfolio, proactively set the research and development agenda, and pursue new funding opportunities in machine learning and related emerging areas to secure sustained R&D funding. Specifically, secure new DOE Office of Science funding and build on existing ASC ties to capitalize on new ND machine learning and digital engineering initiatives. Establish a stewardship funding model and growth/impact strategy for department capabilities, including and for example the Pressio reduced-order modeling software. Coordinate research staff to streamline research idea generation and proposal writing processes to increase return on investment. + Grow a diverse team to meet rapidly growing mission application demand for data science R&D. Leverage these challenging applications to cultivate premier open research careers spanning publication, open source software development, external collaboration, and ultimately concrete application impact. Additional/specific responsibilities of the Computational Data Science Manager include: + Assuring program execution (department-level program budgets, staffing, and work) and addressing performance and execution gaps. + Managing the day-to-day operational, technical, and administrative responsibilities of the department, which includes staff, postdocs, and students. + Providing oversight of security and need-to-know management procedures spanning open through classified work. + Understanding the department's technical work and advocating strongly, both internally and externally. The preferred work location for this position is Livermore, California. However, the selected applicant can also work in Albuquerque, NM or be a virtual worker located in any U.S. State or District of Columbia. Regular or periodic travel to your assigned work location may be required. Qualifications We Require: + Master’s degree in engineering, computer science, mathematics/statistics, other physical science, or similar technical field, plus 4 years of related experience + Proven track record of science and engineering contribution + Ability to travel regularly as-needed + Ability to acquire and maintain a DOE Q-level security clearance, a SCI security clearance may later be necessary to fully advance the role Qualifications We Desire: + Demonstrated ability to build and lead diverse, successful technical teams + PhD in engineering, computer science, mathematics/statistics, other physical science, or similar technical field + A minimum of two years of demonstrated leadership experience + Strong written and verbal communication skills + Program development experience, especially with DOE Office of Science and NNSA programs, notably ASCR and ASC, respectively. + Knowledge of DOE R&D programs and target applications, e.g., in nuclear deterrence + Experience in data science, including machine learning and fusing data with computational models and related mathematical/computational techniques, including high-performance computing and software development + Willingness to manage a team of staff with flexible work arrangements including onsite unclassified and classified work, virtual work, and telecommuting. + Active DOE Q-level security clearance About Our Team: The Computational Data Science Department (8738) conducts fundamental research, develops, and applies algorithms at the nexus of machine learning and computational science and engineering models. Team members develop foundational theory, algorithms, and tools, and partner to enable data-guided decision support for science and engineering mission applications. The department emphasizes fundamental, open research in new methods, notably Bayesian inference, machine learning, and reduced-order modeling. The department contributes primarily to nuclear deterrence (including the Advanced Simulation and Computing program), non-proliferation, and open research (funded largely by LDRD and DOE Office of Science). 8738 is one of four departments in the 8730 group. Collectively, we in the Data Sciences and Computing (8730) Group advance foundational and applied research, develop tools and methods, and work closely with mission partners to provide transformative technologies in support of national security. We seek mission impact through cultivating and applying capabilities spanning modsim, graphs and discrete optimization, uncertainty quantification, secure learning algorithms, scientific learning, quantum information science, and national security software systems. As part of the Center for Computation & Analysis for National Security (8700), we’re dedicated to anticipating and reducing national security risks through cross-domain computational and analytical capabilities with an inclusive and hybrid workforce.
About Sandia:
Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: + Challenging work with amazing impact that contributes to security, peace, and freedom worldwide + Extraordinary co-workers + Some of the best tools, equipment, and research facilities in the world + Career advancement and enrichment opportunities + Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) + Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.
Security Clearance:
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. Job ID: 689529
- $268,600 *Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential. What Your Job Will Be Like: Do you want to lead a team of self-starting researchers working at the nexus of machine learning and computational science and engineering? We seek a department manager (Manager, R&D Science and Engineering) for the Computational Data Science Department (8738). You will take on a broad range of responsibilities for technical, programmatic, and personnel management to sustain a robust research program that fuses modeling & simulation with data science to innovate across engineering domains. You will be called on to: + Lead a distributed team of researchers conducting fundamental, open research in new algorithms, e.g., in machine learning, reduced-order modeling, and Bayesian inference, and developing software implementations to prove them out. Anticipate mission challenges in data science and develop team expertise and capabilities to respond. + Partner across the laboratory (especially with computing, engineering, and applied information science centers) and with external partners to conduct research and impact critical national security applications, for example in nuclear deterrence and non-proliferation. Strategically build partnerships to help implement, mature, and deploy our emerging techniques, increasing their TRL and facilitating expedient use across application domains. + Curate the current diverse funding portfolio, proactively set the research and development agenda, and pursue new funding opportunities in machine learning and related emerging areas to secure sustained R&D funding. Specifically, secure new DOE Office of Science funding and build on existing ASC ties to capitalize on new ND machine learning and digital engineering initiatives. Establish a stewardship funding model and growth/impact strategy for department capabilities, including and for example the Pressio reduced-order modeling software. Coordinate research staff to streamline research idea generation and proposal writing processes to increase return on investment. + Grow a diverse team to meet rapidly growing mission application demand for data science R&D. Leverage these challenging applications to cultivate premier open research careers spanning publication, open source software development, external collaboration, and ultimately concrete application impact. Additional/specific responsibilities of the Computational Data Science Manager include: + Assuring program execution (department-level program budgets, staffing, and work) and addressing performance and execution gaps. + Managing the day-to-day operational, technical, and administrative responsibilities of the department, which includes staff, postdocs, and students. + Providing oversight of security and need-to-know management procedures spanning open through classified work. + Understanding the department's technical work and advocating strongly, both internally and externally. The preferred work location for this position is Livermore, California. However, the selected applicant can also work in Albuquerque, NM or be a virtual worker located in any U.S. State or District of Columbia. Regular or periodic travel to your assigned work location may be required. Qualifications We Require: + Master’s degree in engineering, computer science, mathematics/statistics, other physical science, or similar technical field, plus 4 years of related experience + Proven track record of science and engineering contribution + Ability to travel regularly as-needed + Ability to acquire and maintain a DOE Q-level security clearance, a SCI security clearance may later be necessary to fully advance the role Qualifications We Desire: + Demonstrated ability to build and lead diverse, successful technical teams + PhD in engineering, computer science, mathematics/statistics, other physical science, or similar technical field + A minimum of two years of demonstrated leadership experience + Strong written and verbal communication skills + Program development experience, especially with DOE Office of Science and NNSA programs, notably ASCR and ASC, respectively. + Knowledge of DOE R&D programs and target applications, e.g., in nuclear deterrence + Experience in data science, including machine learning and fusing data with computational models and related mathematical/computational techniques, including high-performance computing and software development + Willingness to manage a team of staff with flexible work arrangements including onsite unclassified and classified work, virtual work, and telecommuting. + Active DOE Q-level security clearance About Our Team: The Computational Data Science Department (8738) conducts fundamental research, develops, and applies algorithms at the nexus of machine learning and computational science and engineering models. Team members develop foundational theory, algorithms, and tools, and partner to enable data-guided decision support for science and engineering mission applications. The department emphasizes fundamental, open research in new methods, notably Bayesian inference, machine learning, and reduced-order modeling. The department contributes primarily to nuclear deterrence (including the Advanced Simulation and Computing program), non-proliferation, and open research (funded largely by LDRD and DOE Office of Science). 8738 is one of four departments in the 8730 group. Collectively, we in the Data Sciences and Computing (8730) Group advance foundational and applied research, develop tools and methods, and work closely with mission partners to provide transformative technologies in support of national security. We seek mission impact through cultivating and applying capabilities spanning modsim, graphs and discrete optimization, uncertainty quantification, secure learning algorithms, scientific learning, quantum information science, and national security software systems. As part of the Center for Computation & Analysis for National Security (8700), we’re dedicated to anticipating and reducing national security risks through cross-domain computational and analytical capabilities with an inclusive and hybrid workforce.
About Sandia:
Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: + Challenging work with amazing impact that contributes to security, peace, and freedom worldwide + Extraordinary co-workers + Some of the best tools, equipment, and research facilities in the world + Career advancement and enrichment opportunities + Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) + Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.
Security Clearance:
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. Job ID: 689529
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
