Sas programmer h1.location_city

Mercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced public-health professionals from major federal agencies (CDC, NIH, HHS), large state / county health departments, and top R1 schools of public health to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI. You'll bring your expertise in epidemiology, health policy, program management, or population health to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a major public-health organization — and then author tasks grounded in the programs you actually run today. Key Responsibilities - Build a realistic digital workspace centered on the Drive folders you use day-to-day — the surveillance summaries, grant applications, program evaluations, health-assessment reports, policy briefs, outbreak write-ups, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., Esri ArcGIS, SAS or MATLAB, Socrata open-data portals)

• Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents
• Collaborate with other public-health experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor
• Work asynchronously with research teams to refine task designs and evaluation criteria for public-health agent benchmarks
• Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems Ideal Qualifications - 3+ years of full-time experience at a federal health agency, large state / county health department, major academic school of public health, or F500 population-health organization
• Background in one or more areas such as : - Epidemiology, surveillance, outbreak investigation - Health policy, health-services research, or program evaluation - Population / community health program management - Grants administration, cooperative agreements, or federal reporting - Environmental health or occupational health
• MPH / PhD / DrPH a plus; biostatistics or GIS fluency
• Day-to-day use of Esri ArcGIS / Google Maps Platform, SAS / MATLAB, and Socrata / Esri ArcGIS Hub
• Strong analytical thinking and writing — able to translate public-health workflows into structured task specs Compensation Note This project is expected to begin on an effective hourly rate, but will transition to a model where experts are compensated based on throughput of quality work rather than a flat accruing hourly rate. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Backed by investors including Benchmark, General Catalyst, Adam D'Angelo, and Jack Dorsey. Thousands of professionals across domains contribute to projects shaping the next generation of AI systems.