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Alto Pharmacy is hiring: Applied Scientist [Short Term Assignment] in San Franci

Alto Pharmacy, San Francisco, CA, United States


Applied Scientist [Short Term Assignment] page is loaded## Applied Scientist [Short Term Assignment]locations: Remote - Texas: Remote - South Carolina: Remote - Maryland: Remote - New Jersey: Remote - Missouritime type: Full timeposted on: Posted Todayjob requisition id: R200547# **Job Summary**About Fuze Health 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. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs. Fuze Health’s foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future. To achieve our vision, we are expanding our Data Science & Analytics team to further transform the pharmacy experience for patients and providers. Our Data Science team partners closely with Product and Engineering to solve the most complex and high-impact problems in healthcare technology—driving breakthroughs in prescription processing efficiency, operational optimization, and dispensing accuracy. As a Applied Scientist, you will 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-# **Job Description**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 YouMinimum 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**Additional Physical Job RequirementsPhysical requirements for this role include the ability to work at a computer terminal with monitor, keyboard and mouse for extended periods of time, stoop, bend, and reach for equipment and supplies, make frequent repetitive motions required to operate a computer that include the wrists, hands and fingers, and lift, carry, push, pull, and move light objects up to 20 pounds. The role also requires the ability to effectively communicate through verbal interactions, discern auditory information, and visually perceive details to perform essential job functions.*Consistent with the Americans with Disabilities Act (ADA) and similar applicable state laws, it is Alto’s policy to provide reasonable accommodation to enable qualified individuals with disabilities to perform essential job functions, unless such accommodation would cause an undue hardship.*Salary and BenefitsBase Range: $ $136,000.00$170,000.00Commission Eligible: NoTravel: NoLocation Requirement: Employment at Alto is limited to individuals residing in the following states: 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.Employment Authorization Requirement: Applicants must be authorized to work for any employer in the U.S. At this time, Alto is unable to sponsor or take over sponsorship of an employment Visa.Benefits: Full-time employee benefits include: 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, and additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, and a fertility medication discount program). Employees are also provided 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: January 12, 2026*#LI-Remote**Alto Pharmacy 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 CandidateHelp@alto.com.**Alto Pharmacy considers qualified applicants with arrest or conviction records for employment and conducts background checks consistent with applicable law, including the California, Los Angeles County, San Francisco, and New York City Fair Chance laws. We are an E-Verify participating company.**Alto Pharmacy recruiters and hiring managers may use automated decision-making tools to assist with identifying candidates who match the stated job requirements, and to what extent. These tools are designed to help ensure fairness in all aspects of the hiring process by providing recruiters and hiring managers with data-backed insights based on information provided in your resume, including work experience, education,
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In Summary: Fuze Health is expanding its Data Science & Analytics team to further transform the pharmacy experience for patients and providers . You will lead the design, development, deployment, and scaling of advanced ML models leveraging NLP, generative AI, and reinforcement learning to improve prescription and fulfillment workflows .

En Español: La página de Científico Aplicado [Asignación a corto plazo] está cargada##Científico Applied [Asignment a corta duración]localidades: Remote - Texas: Remoto - Carolina del Sur: remoto - Maryland: remote - New Jersey: remote - Missouritime tipo: Full timeposted on: Posted Todayjob requisition id: R200547# **Job Summary**About Fuze Health En Fuze health, ponemos a los pacientes en primer lugar y incansablemente abordar las necesidades más urgentes en la atención médica. Empoderamos a millones de personas conectarse digitalmente con proveedores de cuidados, entregar recursos sanitarios esenciales y tratamientos necesarios y permitir que los proveedores, empleadores, planes de salud y compañías de ciencias de la vida logren mejorar significativamente la calidad, resultados y valor. Estamos dedicados a ayudar a desarrollar y modernizar para satisfacer las necesidades emergentes de mercados y servicios sanitarios. Nuestro equipo de Ciencia de Datos se asocia estrechamente con Productos e Ingeniería para resolver los problemas más complejos y de alto impacto en la tecnología sanitaria, impulsando avances en eficiencia del procesamiento de recetas, optimización operativa y precisión de distribución. Como científico aplicado, liderará el desarrollo integral de soluciones avanzadas de aprendizaje automático, guiar las iniciativas desde la ideación hasta la producción y asesorar a sus pares en toda la organización. Su profunda experiencia en PNL, modelos de idiomas grandes y sistemas de aprendizajes automáticos acelerarán la innovación y darán forma al futuro de las operaciones farmacéuticas. -Se espera que las asignaciones a corto plazo duren no más de 6 meses-# **Descripción del trabajo**Lo que harás* Lidere el diseño, desarrollo, despliegue y escalado de modelos avanzados de inteligencia artificial utilizando la PNL, IA generativa y aprendizaje reforzador para mejorar los flujos de trabajo de prescripción y cumplimiento.* Identifique y priorice oportunidades de alto impacto para ML y automatización, colaborando con productos, ingeniería y liderazgo operativo.* Impulsar la innovación en eficiencia operacional mediante optimización algorítmica, experimentación e investigación aplicada.* Colaborar con equipos interfuncionales de ingenieros, científicos de datos y farmacéuticos para traducir negocios basados en datos.* Establecer conocimientos sobre problemas y abogar por mejores prácticas en la evaluación de modelos tensores y la producción dentro de la organización. El papel también requiere la capacidad de comunicarse eficazmente a través de interacciones verbales, discernir información auditiva y percibir visualmente detalles para realizar funciones laborales esenciales.*De acuerdo con la Ley Americana sobre Discapacidades (ADA) y otras leyes estatales aplicables similares, es política de Alto proporcionar alojamiento razonable para permitir que las personas calificadas con discapacidad realicen funciones laborables básicas, a menos que tal alojamento cause dificultades indebidas.*Rango base salarial y beneficios: $136,000.00$170,000.00Comisión Eligible: NoTravel: NoLocation Requirement: Empleo en Alto se limita a individuos residentes en los siguientes estados: Arizona, Arkansas, California, Colorado, Florida, Maryland, Tennessee, Nevada, New Jersey, Nueva York, Carolina del Norte, Oregon, Pennsylvania, South Carolina, Texas, Washington (WA). En este momento, Alto no puede patrocinar o asumir el patrocinio de una Visa de empleo.Beneficios: Los beneficios para los empleados a tiempo completo incluyen: plan dental, visión y múltiples planes médicos grupales entre los que elegir, un plan 401 ((k) de ahorro de jubilación, seguro de vida en grupo, seguro por muerte accidental y desmembramiento (AD&D), cuenta flexible de gasto (FSA) y cuenta de salud (HSA), prestaciones para viajeros, seguro a corto plazo pagado por el empleador (STD) y seguro de discapacidad a largo plazo (LTD), y planes de seguros suplementarios (seguro de vida del cónyuge, seguro legal, programa de asistencia al trabajador y programa de descuento sobre medicamentos). Si tiene una discapacidad y requiere un alojamiento razonable durante cualquier parte del proceso de solicitud o contratación, póngase en contacto con nosotros en CandidateHelp@alto.com.**Alto Pharmacy considera a los solicitantes calificados con antecedentes de arresto o condena para el empleo y realiza verificaciones de antecedente consistentes con la ley aplicable, incluidas las leyes Fair Chance de California, el Condado de Los Ángeles, San Francisco y Nueva York City. Somos una empresa participante de E-Verify.**Los reclutadores y gerentes de contrataciones de Alto Pharmacy pueden usar herramientas automatizadas de toma de decisiones para ayudar a identificar candidatos que cumplen con los requisitos establecidos y hasta qué punto. Estas herramienta están diseñadas para garantizar la equidad en todos los aspectos del proceso de contrato proporcionando información basada en datos a los empleadores y administradores basándose en la educación proporcionada en su currículum, experiencia laboral, incluyendo #80LjJ-188-bffr.