Title: Remote Functional Nurse Practitioner - MUST be licensed in NY and NJ Location: United States / New Jersey / New York Ways2Well – Telemedicine Full-Time Remote Job Description: Ways2Well is redefining the future of healthcare. As a leader in regenerative and preventive medicine, we empower patients to take control of their health through data-driven, personalized care. We’re breaking away from outdated models—leveraging cutting-edge technology, digital care platforms, and bold thinking to deliver high-impact healthcare at scale. Position Summary As a Nurse Practitioner, you will provide evidence-informed, patient-centered care via telemedicine. Your role involves conducting comprehensive health assessments, interpreting advanced lab results, designing personalized wellness and hormone optimization plans, and supporting patients through lifestyle and supplement-based interventions. You will collaborate with a multidisciplinary team in a fast-paced, fully virtual environment. Key Responsibilities - Conduct virtual consultations using both asynchronous and synchronous telehealth platforms - Review and interpret functional and traditional lab results (e.g., hormone panels, micronutrients, inflammatory markers) - Develop personalized care plans focusing on hormonal balance, metabolic health, nutrition, and preventive strategies - Educate patients on treatment options, supplement protocols, and lifestyle modifications - Document thoroughly and accurately in the EHR system (i.e., Charm or similar) - Collaborate with clinical support staff, pharmacists, and health coaches to ensure continuity of care - Adhere to state and federal telehealth regulations and best practices - Participate in ongoing training, case reviews, and team huddles to support professional development and care quality Required Qualifications - Active and unencumbered Nurse Practitioner license - National certification (e.g., AANP, ANCC) - Active DEA - Minimum of 2 years of NP experience, with exposure to functional, integrative, or hormone therapy preferred - Strong knowledge of hormone replacement therapy (HRT) (testosterone, estrogen, thyroid), peptides, and targeted supplementation preferred - Prior experience in a telehealth or digital health setting is strongly preferred - Comfortable navigating EHRs, telemedicine platforms, and cloud-based tools - Exceptional communication, patient engagement, and clinical documentation skills Work Environment & Physical Requirements - Primarily clinic/office-based setting for telehealth visits - Remote work environment; home office or dedicated workspace required - Must be able to work independently with minimal supervision - Virtual meetings via video conferencing (camera on expected) - Reliable high-speed internet connection required - Must maintain a distraction-free, professional background for video calls - Schedule: Monday – Friday, 8am–5pm Central $130 - $135 a year Why Join Ways2Well? The best work happens when purpose meets potential. At Ways2Well, you'll work with a passionate, driven team that's redefining what personalized health and wellness can be — with the resources, leadership, and culture to back it up. We offer competitive compensation, strong benefits, and real room to grow, lead, and make your mark. Equal Employment Opportunity (EEO) and Affirmative Action Commitment Ways2Well is committed to providing equal employment opportunities and render affirmative action to all employees and applicants for employment, including individuals who are members of underrepresented groups, without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or any other status protected by applicable federal, state, or local laws. Reasonable Accommodations Statement To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily. Reasonable accommodation may be made to help enable qualified individuals with disabilities to perform the essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Title: Senior AI/ML Applied Scientist - Remote Location: Minneapolis or Washington, D.C United States Job Description: Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Apply advanced statistical, predictive modeling, and Agentic AI to optimize healthcare and digital experiences - Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards - Research innovative approaches for developing and evaluating Agentic AI solutions, and apply these findings to the solutions you are creating - Develop code and model documentation, patents and publications in scientific conferences and journals - Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions - Stay up to date with latest technologies and literature You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - PhD in Statistics, Mathematics, Computer Science or related field - 3+ years of AI/ML experience (LLM, NLP) - Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification - Proficiency in AI/ML engineering development with Python - Expertise in Large Language Modeling and Transformer Architectures with experience in prompt engineering, evaluation, and LLM optimization Preferred Qualifications: - Experience with AI Cloud services like Azure ML, Databricks, Azure OpenAI, or similar services in GCP / AWS - Experience with Snowflake and other relational databases - Proven solid publication record in top tier AI/ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CHIL, etc.) - Proven solid technical communication skills - All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

• This role sits at the intersection of People, Technology, and AI, helping us transform how our People team operates through intelligent AI and automation • The AI Enablement Partner is a specialist role within our HR Tech team , focused on designing, building, and scaling intelligent automation across the People technology ecosystem • This role bridges the gap between what our systems can do today and what they should be doing tomorrow—using low-code automation platforms, AI agents, and smart integrations to eliminate repetitive work and accelerate decision-making • You'll also partner directly with teams across the People org — understanding how they work, and co-designing AI and automation solutions that actually fit their day-to-day • At the moment, this role is focused on: Designing and building automations that remove repetitive work across our People tech stack • Developing AI-powered solutions like copilots, agents, and intelligent workflows to improve self-service and support • Working with our IT team to connect systems like Workday, SmartRecruiters, and CultureAmp through scalable integrations • Ensuring clean, structured, analytics-ready data through automation and validation workflows • Acting as a force multiplier across the PSA team — supporting, troubleshooting, and scaling impact • Continuously improving automation performance, reliability, and ROI across the ecosystem • Serve as buffer capacity for other HR Systems Analyst roles during peak periods

Role Description As an Intern at Dayforce, you’ll gain real-world experience with meaningful responsibilities, access to development programs, and the chance to collaborate globally, bringing new ideas and optimizing processes across multiple business units. We are seeking a technical AI Product Intern to support our GenAI and AI Agent product initiatives. In this role, you will work directly with the AI product team to: - Develop prototypes that spark future product innovation - Help improve model performance - Evaluate multilingual model output quality - Evolve our product analytics capabilities in Pendo - Craft meaningful content in Confluence This internship is ideal for a Computer Science or Engineering student with a passion for machine learning, AI, experimentation, and turning messy problems into working solutions. What you’ll get to do: - Build working demos in live code to communicate product opportunities - Create annotated datasets to improve our LLM-based systems - Assist with hands-on evaluation of multilingual model output - Develop and refine product analytics in Pendo and analyze product usage data in Pendo and Databricks to generate insights that inform our roadmap - Craft and refine meaningful content and documentation (e.g. Confluence) for broad stakeholder communications - Support our teams’ development workflows and experimentation infrastructure Qualifications - Proven experience with machine learning, preferably GenAI or LLM applications - Experience with programming languages: Python and SQL, etc. - Comfort with tools such as (or similar to): Databricks, Pendo, Visual Studio, etc. - Entrepreneurial mindset: works with minimal guidance and solves their own problems - Ability to translate ambiguous tasks into clear outputs - Strong communication skills and curiosity about how product and ML intersect Requirements - Full-time availability of 37.5 – 40 hours weekly is required to be eligible for this opportunity. Benefits - Experience working for one of the fastest growing Human Capital Management technology companies in the world - Access to Dayforce’s development programs and resources - Ability to work with as well as create relationships with members across the globe - Autonomy to bring forth new ideas and optimize existing structures within the organization - Meaningful responsibilities, enabling you to obtain ‘real-world’ experience - Dynamic hands-on exposure to multiple business-units and stakeholders across Dayforce