Sr Research Statistician Developer

Sr Research Statistician Developer - Hybrid, Cary, North Carolina

 

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If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

 

About the job

The Scientific Computing team is looking for a Sr Research Statistician Developer to join our innovative advanced analytics team to develop and maintain production analytics software. Our team engages in methodological research and development and computational engineering to incorporate cutting-edge innovations into statistical software that is used across a wide range of industries, including pharma, insurance, government, and academia. As a member of this team, you will get to work closely with top-tier statisticians on exciting and challenging projects with a real-world impact. In a world rapidly moving toward AI-driven solutions, there is a huge opportunity to combine traditional statistical methods with cutting-edge technologies to tackle complex research challenges, and you will be right at the heart of it.

 

As a Sr Research Statistician Developer, you will:

• Develop production-quality statistical methods and machine learning/AI analytics software by designing, testing, and documenting code.
• Research, prototype, and select appropriate statistical/machine learning and computational algorithms to meet customer needs.
• Work closely with architects, developers, technical support, and testing groups.
• Build expertise in one or more specialized areas of statistics by participating in research conferences and professional activities.
• Collaborate with other product development teams and testing teams to integrate algorithms into company solutions and products.
• Promote software via papers and presentations.
• Mentor junior team members.
• Be encouraged to participate in open-source projects on behalf of SAS.
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications

• PHD. or Masters degree in Biostatistics, Statistics, Mathematics, Engineering, or related field.
• 3+ years of experience with one of the following programming languages: C, C++, Java, or Python.
• Expertise in a leading-edge area of statistics, such as survey methodology, survival analysis, generalized linear models, longitudinal data analysis, or causal inference.
• In-depth knowledge of specialized computational techniques required to develop analytics algorithms in statistics fields.
• Familiarity with a high-level computational language like SAS, MATLAB, or R
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Additional competencies, knowledge and skills

• Active Learning: Seeking and leveraging opportunities to gain new skills, knowledge, and experiences; quickly assimilating and applying new information and skills to enhance sales results.
• Adaptability: Maintaining effectiveness when experiencing major changes in work responsibilities or environment (e.g., people, processes, structure, or culture); adjusting effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful.
• Collaborating: Working cooperatively with others to help a team or work group achieve its goals.
• Experience with SAS Viya and/or SAS Viya Workbench, including proficiency in SAS/STAT and SAS/VS products.
• Strong record of peer-reviewed publications and conference presentations.
• Experience with SAS development environment.
• Experience commercial software development in C.
• Experience with CI/CD development environment.
• Experience implementing multi-threaded and distributed algorithms.
• Ability to work both independently and as part of a team

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