Applied Scientist [Short Term Assignment] - FuzeRx

Job Summary At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources, and needed treatments, and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. Our growing portfolio brings together the capabilities of industry leaders to deliver next‑generation solutions that patients and partners need today and into the future. Job Description Lead the end‑to‑end development of advanced machine‑learning solutions, guiding initiatives from ideation through production and mentoring peers across the organization. Your deep expertise in NLP, large language models, and machine‑learning systems will accelerate innovation and shape the future of pharmacy operations. Short‑term assignments are expected to last no longer than 6 months. What You’ll Do 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. A Bit About You Minimum Qualifications 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. Preferred Qualifications 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. Additional Information Physical requirements: ability to work at a computer terminal for extended periods, stoop, bend, and reach for equipment, perform repetitive motions with wrists, hands, and fingers, lift or move light objects up to 20 pounds, and effectively communicate verbally and visually. We provide reasonable accommodations for qualified individuals with disabilities unless undue hardship occurs. Salary and Benefits Base range: $136,000.00 – $170,000.00. The role is commission eligible: no. No travel required. Location: employees must reside in Arizona, Arkansas, California, Colorado, Florida, Kansas, Maryland, Missouri, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Washington (WA), and Wisconsin. Benefits Full‑time benefits include dental, vision, and multiple group medical plans, a 401(k) retirement savings plan, group life insurance, accidental death and dismemberment insurance, FSA and HSA, commuter benefits, employer‑paid short‑term and long‑term disability insurance, supplemental insurance plans, flexible vacation time, accrued paid sick time, 11 paid holidays (seven for pharmacy and care team members), and eight weeks of paid parental leave for eligible employees. Application Deadline The application deadline is March 12, 2026. Equal Opportunity Employer Fuze Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected basis. If you have a disability and require reasonable accommodation during any portion of the application or hiring process, please contact us at View email address on click.appcast.io. We consider qualified applicants with arrest or conviction records for employment and we conduct background checks consistent with applicable law. We are an E‑Verify participating company. #J-18808-Ljbffr