Manager R&D Science and Engineering - Statistical Sciences, Onsite

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.

• 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 vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

* These benefits vary by job classification.

World‑changing technologies. Life‑changing careers. Learn more about Sandia at: http://(Use the "Apply for this Job" box below)..gov

Passionate about leading and developing teams that impact national security missions? Join our dynamic team and develop creative solutions to unique national security challenges!

We are seeking an R&D Manager to lead our highly dedicated and mission focused Statistical Sciences department in the Human‑Driven Data Science Group. The Statistical Sciences department supports a range of Sandia missions through foundational statistical research and application of statistical capabilities. Statistical Sciences collects and analyzes data to model and optimize performance by improving all aspects of the data analytics pipeline.

Areas of emphasis include Bayesian methods, spatio‑temporal statistics, functional data analysis, statistical and machine learning, computational social science, statistical inference, probabilistic modeling and computer simulation, statistical model calibration, inverse modeling and prediction, and uncertainty quantification.

• Partner with the management team and the data/information sciences community to develop and implement the vision and strategies for the future and to jointly manage the laboratories' statistics capability
• Craft and execute workforce development plans including recruiting, hiring, retention, career development and performance assessment for staff in the department, and facilitate the transfer of knowledge and skills from experienced to developing statisticians
• Provide leadership for the department and be accountable for execution of desired outcomes
• Build and cultivate relationships with organizations across the laboratories, internal/external customers and federal agencies by providing statistical science knowledge, skills and insights and connections to resources
• Partner with mission and capability managers to understand the statistics and data analytics needs and challenges of these programs and prioritize agreements to support the greatest needs and areas of highest impact
• Lead statistics research and collaborate with staff to create and submit research proposals through the Laboratory Directed Research and Development program and other funding opportunities
• Champion a culture of diversity, equality and inclusion and take an active leadership role in modeling and growing these values

Due to the nature of the work, the selected applicant must be able to work onsite.

$163,700 - $278,000

* 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.

• A Bachelor's degree in a relevant discipline and eight (8) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development
• Ability to obtain and maintain DOE Q‑level and SCI security clearance

• Two or more years of demonstrated leadership experience
• A graduate degree in science or engineering (MS…