Senior R&D Optimization Scientist (MIP/Data Science)

Accreditation Council for Graduate Medical Education; Albuquerque (NM); On-site; USD 118,000 - 236,000; Full time

Job summary

Sandia National Laboratories in Albuquerque, New Mexico, seeks an R&D Optimization Researcher for the Operations Research and Computational Analysis Department. The selected candidate will conduct research and serve as a consultant on advanced optimization models, focusing on Mixed‑Integer Programming and related optimization; a history of technical leadership is required.

Responsibilities include developing reformulations and algorithms, creating new models across science and engineering

Qualifications

• Ph.D. in OR/related field or Master’s with 5+ years of experience.
• Ability to obtain DOE Q and SCI clearance.
• Strong research and development capabilities in optimization.

Responsibilities

• Develop reformulations, optimization techniques, or advanced algorithms for discrete optimization.
• Create new optimization models across science and engineering domains.
• Present model applications and results at customer briefings and conferences.
• Collaborate with analysts and software engineers to deploy models.
• Publish research in journals, conferences, and technical reports.

Skills

Mixed‑Integer programming

Optimization modeling

Software development

Communication

Team collaboration

Proposal development

Education

Ph.D. in Operations Research / related field

Master's + 5+ years experience

Tools

DOE security clearance

Job description

Sandia National Laboratories in Albuquerque, New Mexico, seeks an R&D Optimization Researcher for the Operations Research and Computational Analysis Department. The selected candidate will conduct research and serve as a consultant on advanced optimization models, focusing on Mixed‑Integer Programming and related optimization; a history of technical leadership is required.

Responsibilities include developing reformulations and algorithms, creating new models across science and engineering