
1001 - 5000 employees
☁️ SaaS
🤝 B2B
💊 Pharmaceuticals
SaaS • B2B • Pharmaceuticals
Fuze Health is a technology-led healthcare company that provides integrated pharmacy solutions, clinical services, and data-driven software to healthcare organizations, payers, employers, and life sciences partners. Through its FuzeRx digital pharmacy, Fuze Services clinical programs, and Fuze Technologies platform, it delivers API-powered prescription fulfillment, telehealth, diagnostics and genomics, patient engagement, and analytics to improve access, adherence, early identification of conditions, and outcomes at scale.
🕒 February 23
🌵 Arizona, California, +16 more states – Remote
💵 $136k - $170k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧬 Research Scientist
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1001 - 5000 employees
☁️ SaaS
🤝 B2B
💊 Pharmaceuticals
SaaS • B2B • Pharmaceuticals
Fuze Health is a technology-led healthcare company that provides integrated pharmacy solutions, clinical services, and data-driven software to healthcare organizations, payers, employers, and life sciences partners. Through its FuzeRx digital pharmacy, Fuze Services clinical programs, and Fuze Technologies platform, it delivers API-powered prescription fulfillment, telehealth, diagnostics and genomics, patient engagement, and analytics to improve access, adherence, early identification of conditions, and outcomes at scale.
• Lead the design, development, deployment, and scaling of advanced ML models leveraging NLP, generative AI, and reinforcement learning to improve prescription and fulfillment workflows • Identify and prioritize high-impact opportunities for ML and automation, collaborating with product, engineering, and operations leadership • Drive innovation in operational efficiency through algorithmic optimization, experimentation, and applied research • Partner with cross-functional teams—product managers, engineers, data scientists, and pharmacists—to translate business challenges into data-driven solutions • Establish and advocate for best practices in experimentation, model evaluation, and responsible AI within the Data Science organization • Mentor and provide technical guidance to Applied Scientists and Data Scientists across projects • Communicate technical findings and recommendations clearly to executives and non-technical stakeholders to influence data-driven decision-making
• Master’s or PhD in a quantitative field such as Computer Science, Mathematics, Engineering, or related discipline • 6+ years of experience as an Applied Scientist, Machine Learning Engineer, or Data Scientist, with a proven record of delivering ML/AI models to production • Demonstrated experience applying machine learning and statistical modeling techniques to complex real-world problems with measurable business impact • Advanced proficiency in Python and SQL, with experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) • Strong analytical mindset with the ability to break down ambiguous problems into actionable solutions • Excellent communication skills with the ability to distill complex technical ideas into clear business insights.
• dental, vision, and multiple group medical plans to choose from • 401(k) retirement savings plan • group life insurance • accidental death and dismemberment (AD&D) insurance • flexible spending account (FSA) and health savings account (HSA) • commuter benefits • employer-paid short-term (STD) and long-term disability (LTD) insurance • additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, and a fertility medication discount program) • flexible vacation time • accrued paid sick time • 11 paid holidays (seven for Pharmacy and Care team members) • eight weeks of paid parental leave for eligible employees
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