Role Description Neolytix is seeking a senior healthcare professional to lead our Payer Contract Analytics practice on a fractional basis. This role combines business development, client leadership, and oversight of an offshore analytics team. The right candidate has deep experience in payer contracting and provider reimbursement, an existing network in the provider space, and wants a flexible engagement with meaningful upside tied to results. What You'd Do - Business Development - Develop pipeline through your network and targeted outreach - Lead discovery conversations and scope engagements - Develop proposals and close deals - Client Leadership - Serve as the senior relationship owner on engagements - Present findings and guide negotiation strategy - Identify expansion opportunities - Delivery Oversight - Direct methodology and quality standards for an offshore analytics team - Review deliverables before client presentation - Partner with our India-based Technical Lead on execution - Practice Development - Shape offerings and positioning based on market feedback - Develop referral partnerships - Contribute to go-to-market strategy Qualifications - 15+ years in US healthcare - Substantial experience with payer contracting, managed care, or provider reimbursement - Track record in consulting, advisory, or analytics-driven roles - Experience selling or delivering engagements in the $100K-$500K range Requirements - Existing relationships with health system executives, practice leaders, or PE operating partners - Ability to translate complex analytics into actionable recommendations - Comfort overseeing offshore teams and reviewing analytical work - Strong executive presence Mindset - Entrepreneurial — energized by building, not just executing - Self-directed — can manage your own pipeline and priorities - Collaborative — works well with a small, distributed team Background might include: - VP Managed Care or Provider Contracting at a health system - Partner or Director at a healthcare consulting firm - Operating role at a PE-backed healthcare platform - Senior payer executive with provider-side experience Compensation Overview - Base Retainer: You will receive a fixed monthly payment that reflects your part-time commitment to the role. This ensures a steady, predictable income. - Performance Incentive: On top of your base pay, you will earn a commission on all revenue generated. Additionally, you will be eligible for bonuses when specific deals are closed. - Target Total Compensation: The total package is designed to be highly competitive with current market rates for fractional executive roles, balancing both stability and high-earning potential. Logistics - Commitment: Fractional/ Part time - Location: Remote within the US; hybrid if in Chicagoland - Travel: Occasional, for client meetings or conferences - Structure: W-2 or 1099, based on preference - Start: Q2 2026 To Apply Please submit your resume and a brief note covering: - Your experience with payer contracting or provider reimbursement - An example of consulting or advisory work you've led or contributed to - Your current availability and interest in fractional work We'll follow up with qualified candidates to discuss the opportunity in more detail. Neolytix is an equal opportunity employer.

Requisition Number: 2344875 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. We are seeking a seasoned Principal Data Scientist to lead design, development and deployment of advanced machine-learning solutions. In this role you will define end-to-end ML architecture, select appropriate tools and frameworks, drive POCs and guide engineering teams in productionizing scalable AI services. A solid foundation in statistics, deep learning and generative AI, hands-on cloud expertise, and exceptional communication skills are essential. The Principal Data Scientist designs and builds production grade ML and GenAI solutions, while providing technical guidance and mentorship to junior engineers without formal people management responsibilities. You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in Minnesota, 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: - Lead solution architecture and hands on development of machine learning and generative AI applications - Design, build, and deploy scalable, production grade AI solutions using traditional ML, deep learning, and modern LLM based approaches - Balance architectural leadership with hands on execution across complex AI/ML initiatives - Provide technical guidance and mentorship to junior engineers through collaboration and code/design reviews (no people management) - Partner closely with engineering, product, and cross functional teams to deliver high impact AI solutions aligned with enterprise standards - Design, develop, and deploy AI-powered solutions to address complex business challenges - Lead proof-of-concept experiments in generative AI (transformers, GANs, diffusion models) to solve business problems - Establish best practices for model governance, versioning, reproducibility and security - Collaborate with data engineers, data scientists, software engineers and product managers to translate business requirements into technical solutions - Evaluate emerging tools, libraries and research to drive innovation and maintain competitive edge - Document architecture designs, conduct design reviews and present technical proposals to stakeholders 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: - 10+ years of experience designing, building, and deploying production machine learning solutions - Deep expertise in either NLP or Computer Vision, with multiple years of hands on solution ownership in that domain - Deep expertise in core ML and statistical methods: supervised/unsupervised learning, regression, classification, clustering, time series, Bayesian modeling - Proven solid foundation in traditional ML and deep learning, demonstrated through substantive work prior to or alongside recent GenAI efforts (GenAI only backgrounds without prior ML depth are not sufficient) - Demonstrated experience with cloud ML services and infrastructure design on at least one major cloud platform (AWS, Azure or GCP) - Recent experience (approximately last three years) building GenAI applications using LLMs and frameworks such as LangChain and/or LangGraph - Hands on programming experience in Python and ML frameworks (e.g., PyTorch, TensorFlow) - Demonstrated familiarity with big data technologies: Apache Spark, Hadoop, Dask - Ability to define cloud-native ML infrastructure on Azure, AWS or GCP: containerization (Docker/Kubernetes), ML pipelines (SageMaker, Vertex AI, Azure ML), MLOps (CI/CD, model registry, monitoring) - Proficiency in deep learning frameworks: TensorFlow, Keras, PyTorch - Practical experience building or fine-tuning generative models (e.g., GPT, BERT, Stable Diffusion, custom architectures) - Proven solid background in probability, linear algebra and statistical inference - Demonstrated track record of moving models from research/POC into production at scale - Proven excellent problem-solving ability and solid verbal/written communication skills Preferred Qualifications: - Experience working with healthcare data, systems, or use cases - Experience with MLOps tools: MLflow, Kubeflow, TFX, Airflow or equivalent - Proven knowledge of data visualization tools (Tableau, Power BI) and dashboarding - Work supporting U.S. based healthcare or enterprise environments - Reside in Minnesota *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 $112,700 to $193,200 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. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

ABOUT THRIVE MARKET Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,700,000+ members find better products, support better brands, and build a better world in the process. We are also a Certified B Corporation, a Public Benefit Corporation, and a Climate Neutral Certified company. Join us as we bring healthy and sustainable living to millions of Americans in the years to come. The Role Thrive Market is looking for a Director of Data Science & Machine Learning to lead the company’s ML organization and define the strategic direction for how machine learning powers the member experience. This role sits at the intersection of applied science, engineering, and product strategy. Thrive Market is moving toward a server-driven platform architecture. Rather than relying on static templates and generic carousels, the vision is for every member to see a personalized storefront the moment they log in; product recommendations, search results, promotions, and content all dynamically assembled by ML-powered backend systems. This leader will be the driving force behind making that vision a reality. You will inherit a team of three Senior Data Scientists and oversee the hiring of three additional team members (Senior Data Scientist, Fullstack Engineer, and Machine Learning Data Engineer). This is a hands-on leadership role: you will set the technical direction, build and scale the team, partner deeply with Product, Engineering, and business stakeholders, and ensure ML is embedded across the platform, not siloed as a service function. Requirements ML Strategy & Organizational Leadership - Define and execute the ML roadmap for Thrive Market, aligning machine learning investments with business priorities across search, discovery, personalization, growth, and operations. - Build, scale, and mentor a high-performing ML team spanning data science, ML engineering, and analytics. - Serve as the primary ML voice in product and engineering leadership forums, translating business objectives into ML-solvable problems and communicating technical trade-offs to non-technical stakeholders. Server-Driven Personalization & Retrieval Systems - Architect and deliver the ML layer powering Thrive Market’s server-driven personalization platform, enabling dynamically assembled, per-member experiences at page load. - Own end-to-end retrieval and ranking systems across search and recommendations: multi-stage pipelines (candidate generation, neural ranking, re-ranking), embedding models, and real-time feature serving. - Lead redesign and continuous improvement of the search stack using semantic retrieval (e.g., BERT-based encoders), learned ranking, and feature-rich re-ranking models to improve relevance, engagement, and latency. - Build and scale recommender systems (e.g., Buy It Again, Personalized Feeds, Deals) that drive meaningful revenue lift while balancing member retention, diversity, and long-term engagement. ML Decision Systems & Business Impact - Develop production ML decision systems; predicted lifetime value (pLTV), member segmentation, demand forecasting. Used across Finance, Growth, and Operations to guide acquisition strategy, capital allocation, and lifecycle optimization. - Partner with cross-functional teams (Product, Marketing, Merchandising, Finance) to identify high-impact ML applications and ensure models are integrated into business workflows, not just prototyped. ML Platform & Infrastructure - Strengthen ML platform foundations: model deployment, feature pipelines, validation frameworks, monitoring, and experiment velocity. - Drive adoption of best practices for ML reliability—automated testing, model health monitoring, graceful degradation, and observability. - Enable faster iteration cycles across the ML team through tooling, infrastructure investment, and process improvements. Applied GenAI & Innovation - Lead applied GenAI exploration, including prototyping LLM-powered assistants for shopping, product discovery, and personalization workflows. - Evaluate emerging ML techniques and tooling, maintaining a pragmatic lens on what delivers member and business value versus what is experimental. Qualifications Must-Have - 8+ years of experience in data science, machine learning, or applied ML engineering, with at least 3 years leading ML teams in a production environment. - Deep technical expertise in search, retrieval, ranking, and/or recommendation systems, with demonstrated experience building multi-stage ML pipelines at scale. - Proven track record of building and scaling an ML organization—hiring, mentoring, setting technical standards, and establishing team culture. - Experience designing and deploying ML systems that directly drive business outcomes (revenue, engagement, retention, operational efficiency) in an e-commerce or consumer-facing platform. - Strong cross-functional partnership skills—able to work effectively with Product, Engineering, Marketing, Finance, and executive leadership. - Experience with ML platform and infrastructure patterns: feature stores, model serving, experimentation frameworks, and monitoring. - Comfort operating as both a strategic leader and a hands-on technical contributor, especially in the early stages of building out the team. Strong Signals - Experience with server-driven or backend-driven UI/personalization architectures. - Background in e-commerce, marketplace, or subscription-based platforms. - Experience with NLP/semantic search (e.g., BERT-based encoders, dense retrieval). - Familiarity with pLTV modeling, demand forecasting, or similar decision-science applications. - Hands-on experience with LLMs and applied GenAI in production or near-production contexts. - Mission-driven orientation—experience at or affinity for companies focused on health, wellness, sustainability, or social impact. JOB INFORMATION - Compensation Description - The base salary range for this position is $250,000 - $300,000/Per Year. - Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location. - Total Compensation includes Base Salary, Annual Bonus, Stock Options, Health & Wellness Benefits, Flexible PTO, and more! - This position requires traveling to our HQ office in Los Angeles, California, twice a year for all-company summits; once in the summer and once in the winter. BELONG TO A BETTER COMPANY - Comprehensive health benefits (medical, dental, vision, life and disability) - Competitive salary (DOE) + equity - 401k plan - 9 Observed Holidays - Flexible Paid Time Off - Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences - Ability to work in our beautiful office in Playa Vista - Free Thrive Market membership with exclusive employee discount - Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we encourage you to apply. Thrive Market is an EEO/Veterans/Disabled/LGBTQ employer At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree! Employment with Thrive Market requires that employees be based in the United States. This is a condition of employment and must be maintained throughout the duration of employment. If you need assistance or accommodation due to a disability, please email us at eeo@thrivemarket.com and we’ll be happy to assist you. Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com. © Thrive Market 2026 All rights reserved.

The job profile for this position is Business Analytics Senior Advisor, which is a Band 4 Senior Contributor Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. The Clinical Analytics team is expanding how data analytics improves health care—making it more personalized, transparent, and affordable. As a Senior Data Scientist, you will lead health services research that shape clinical programs, inform strategy, and demonstrate measurable value for customers and patients. This role is ideal for an experienced analytics professional who enjoys translating complex healthcare data into clear insights that influence real-world decisions. Responsibilities - Lead complex analytic initiatives that evaluate clinical programs and solutions, delivering clear proof of value in cost, quality, and outcomes. - Design and execute rigorous evaluation approaches, including systematic literature review, meta-analysis, matched case-control studies and experimental or quasi-experimental designs. - Develop and apply statistical and predictive models to stratify risk, assess behavior change, and identify improvement opportunities. - Translate large-scale healthcare data into actionable insights and recommendations for business and clinical leaders. - Partner with stakeholders across clinical, operations, product, pharmacy, and behavioral health teams to shape analytic strategy and testing plans. - Communicate results clearly to non-technical audiences, influencing decisions through compelling data storytelling. - Uphold analytic standards, methods, and rigor to ensure results can be confidently used to drive material improvements. Qualifications Required - Master’s degree or PhD in biostatistics, epidemiology, health economics, health services research, or a related field. - 3+ years of experience in healthcare analytics, data science, or outcomes research. - Strong foundation in statistical modeling, evaluation research design, and applied analytics. - Proficiency in at least one major programming or analytic language such as Python, R, or SQL. - Experience working with healthcare data sets, including claims, utilization, and diagnostic codes. - Ability to work independently on complex problems while collaborating effectively in a matrixed organization. - Clear communication skills and comfort influencing stakeholders at multiple levels. Preferred - Recent experience with program evaluation, outcomes research, or health services research methods. - Background presenting findings through publications, presentations, or internal thought leadership. - Growth mindset, curiosity, and enthusiasm for continuous improvement in how analytics drives impact. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 112,800 - 188,000 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.