[Remote] Applied Scientist - FuzeRx

Note: The job is a remote job and is open to candidates in USA. Fuze Health is dedicated to enhancing healthcare quality and outcomes through digital innovations. They are seeking an Applied Scientist to lead the development of advanced machine learning solutions, focusing on improving pharmacy operations through NLP and generative AI. The role involves collaboration with cross-functional teams and mentoring peers in the Data Science organization.

Responsibilities

• 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

Skills

• Master's or PhD in a quantitative field such as Computer Science, Mathematics, Engineering, or a 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
• Deep experience in NLP, LLMs, Generative AI, and/or Reinforcement Learning
• Experience in healthcare, pharmaceuticals, supply chain, or logistics optimization
• Expertise in building and maintaining production-grade ML pipelines using cloud platforms such as AWS, GCP, or Azure (e.g., Kubeflow, Vertex AI, SageMaker)
• Demonstrated ability to lead cross-functional initiatives, influence strategy, and mentor junior scientists

Benefits

• Dental, vision, and multiple group medical plans to choose from
• A 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

Company Overview