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Senior Systems Engineer

2 months ago


Cary, North Carolina, United States SAS Full time
About the Role

The Sr. Systems Engineer is a key member of the US Healthcare Pre-Sales Customer Advisory team at SAS, responsible for solving business problems and opportunities for SAS customers in the US healthcare and US federal health spaces, leveraging the latest SAS solutions.

Key Responsibilities
  • Collaborate with the SAS sales team on customer engagements, discovery of business challenges, and designing solutions to those challenges.
  • Partner with SAS Industry Consultants to build customer trust and increase credibility through developing novel solutions and demonstrations of the capabilities of SAS solutions.
  • Advance knowledge of life science business problems and use cases, as well as data science platforms, methods, and technologies.
  • Lead discovery, demonstration, and advisory engagements with life science customers.
  • Design and develop solution designs, demonstrations, and assets for SAS software.
  • Participate in product demonstrations, whiteboarding, and content presentations for customers.
  • Respond to RFI/RFPs with solution designs, technical writing, demonstrations, and oral presentations.
  • Participate in SAS product and solution training to maintain detailed product knowledge.
  • Monitor competing solutions to understand SAS products' strengths and weaknesses in the market.
  • Identify and communicate best-practice methodologies both internally and externally.
Requirements
  • 8+ years of relevant experience in Healthcare, Life Sciences, or related fields.
  • Bachelor's degree in Biostatistics, Epidemiology, Data Science, Statistics, or related field.
  • Expertise in BI visualization and dashboarding design and development.
  • Experience in Healthcare data management, databases, data structures, etc.
  • Hands-on experience with SAS Visual Analytics, Tableau, PowerBI, or similar BI tool.
  • Hands-on experience with SAS, Python (e.g., NumPy, Pandas), R, or other analytic programming languages.
  • Experience applying various statistical models and methods to business problems.
  • Travel up to 25% or as business needs require.
Preferred Qualifications
  • Advanced degree in Biostatistics, Epidemiology, Data Science, Statistics, or related field.
  • Experience applying Machine Learning and AI algorithms to business problems.
  • Hands-on experience with the SAS Viya platform.
  • Experience selling to US federal government buyers or working on US federal government contracts.
  • Experience presenting to a mixture of technical, analytical, and executive audiences in a clear manner.
  • Experience in technical pre-sales or customer solution engineering.
About SAS

SAS is a leader in data and AI, inspiring customers around the world to transform data into intelligence and questions into answers. We're a debt-free multi-billion-dollar organization on our path to IPO-readiness, offering a dynamic, fulfilling career coupled with flexibility and world-class employee experience.

We're committed to diversity and inclusion, believing that 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.

We're an equal opportunity/Affirmative Action employer, considering all qualified applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status, or any other characteristic protected by law.