Research Statistician Developer (remote/hybrid)

Requisition ID 20066793 Primary Location - Country United States Visa Sponsorship No Travel Requirements Up to 25% JMP, a subsidiary of SAS, is committed to empowering scientists and engineers via our world-class family of statistical software products. For over 30 years, JMP has enabled customers to speed new drugs to market, to design better products and processes, and to figure out how to restore ecosystems. Advancements are made when brilliant people use JMP statistical discovery software to see what they’ve not seen before. If you are a problem solver, a connector, and someone who enjoys helping others, then you might just be the next person to join this dynamic, growing, and global team. About the job: JMP is looking for a Research Statistician Developer with expertise in statistical methods for reliability to join our growing team! As a Research Statistician Developer, you will: Design, develop, and debug software for new and existing JMP products, with a focus on reliability applications. Collaborate with other statisticians and developers to implement statistical methods into production-quality software. Support the design and validation of software features related to reliability analysis and quality engineering. Conduct applied research and translate statistical theory into practical tools for JMP users. Participate in technical discussions with users and internal teams to refine product features. Assist in planning and scheduling development tasks, balancing research and implementation. Work closely with testing and documentation teams to ensure high-quality releases. Promote newly developed software by presenting at user meetings and user conferences. Promote new research by publishing research papers in peer reviewed journals and presenting at internationally recognized research conferences. Required Qualifications: Ph.D. in Statistics, Mathematics, Computer Science, Engineering, or a related field, with a focus on reliability or engineering statistics. Demonstrated experience in statistical reliability methods such as life data analysis, degradation modeling, and accelerated testing. Strong programming skills and experience implementing statistical algorithms. Ability to conduct independent research and contribute to collaborative development efforts. Excellent communication skills and ability to work in a cross-functional team. Flexibility and adaptability in a dynamic development environment. Experience and/or knowledge may be gained through graduate-level educational curriculum and research. Preferred Qualifications: Experience with JMP, R, Matlab, or C++. Applied experience in engineering or manufacturing settings. Experience publishing or presenting research in statistical reliability or related fields. World-Class Benefits Highlights include... Comprehensive medical, prescription, dental and vision plans. Medical plan options include...PPO with low annual deductible and copays.HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center). Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge! An industry-leading 401k plan. Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1. Volunteer Time Off, parental leave and unlimited paid sick days. Generous childcare benefits for all full-time employees. Diverse and Inclusive At SAS and JMP, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.