Dave Johnson

Dave Johnson serves as a Program Manager responsible for overseeing the full lifecycle of research and development acquisitions within his organization. He plays a pivotal role in translating mission-critical scientific objectives into structured procurement strategies, ensuring compliance with federal acquisition regulations while advancing innovation in physical, engineering, and life sciences. His portfolio primarily consists of complex R&D contracts involving experimental design, prototype development, and technical validation services. He collaborates closely with technical teams to define performance requirements, evaluate proposals, and manage contract performance, ensuring alignment with federal R&D priorities and scientific rigor. While specific contractor relationships are not publicly enumerated, Johnson engages with a broad spectrum of entities specializing in advanced scientific research, including academic institutions, nonprofit research organizations, and private-sector R&D firms with deep technical expertise in laboratory instrumentation, computational modeling, and experimental systems. His procurement approach emphasizes merit-based selection grounded in technical capability, past performance, and innovation potential, fostering long-term partnerships with vendors capable of delivering high-risk, high-reward scientific outcomes. Johnson’s contracting patterns reflect a strong preference for unrestricted competitions, with 100% of his acquisitions classified as “No Set-Aside.” This indicates a focus on selecting the most technically qualified performers regardless of socioeconomic status, prioritizing scientific excellence and mission readiness over socioeconomic preferences. While small business participation is not formally targeted, his process remains open and accessible to all qualified offerors. His primary procurement focus is on NAICS 541712—Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology). He routinely procures services related to materials science, engineering prototyping, data analytics for experimental results, and advanced simulation modeling, demonstrating deep domain expertise in non-biotech scientific innovation and technical research execution.