Remote Data & Analytics Jobs in Princeton, NJ (NOW HIRING)

At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, Compleat Organic Blends®, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.
At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.
Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.
Position Summary:
The Senior Market Access Specialist - Data and Analytics, plays a critical role in enabling data-driven and AI-enabled decision-making across the Market Access organization and the Sales Field. This position is responsible for building end-to-end data and AI solutions - from raw data ingestion through analytics, visualization, predictive modeling, and storytelling - that make the organization smarter, more actionable, and better equipped to compete in the pharmaceutical industry.
The role leverages SQL, Power BI, AI/Generative AI (e.g., Microsoft Copilot, Azure OpenAI), and other modern analytics tools to transform fragmented pharma datasets (payer claims, wholesaler EDI, copay, PAP, and specialty pharmacy journey data) into clear, decision-ready insights. The Sr. Specialist partners closely with Market Access leadership, Trade, Payer Strategy, Patient Services, Sales Operations, Finance, IT, and external partners (specialty pharmacies, wholesalers, copay/PAP vendors) to translate business needs into technical and AI-powered solutions that drive revenue growth, protect gross-to-net, and improve the patient experience.
Key Responsibilities:
Data Solution Development:
• Design, build, and maintain SQL-based data models and Power BI dashboards that integrate payer claims, EDI 852/867, copay, PAP, and specialty pharmacy data
• Develop automated, production-grade reporting solutions that replace manual spreadsheets and accelerate decision cycles
• Build self-service analytics products tailored to Market Access leaders, payer account managers, trade managers, and field sales teams
• Apply best-in-class data engineering practices (data validation, version control, documentation) to ensure scalability and reliability
• Embed AI and Generative AI capabilities (e.g., Microsoft Copilot, Azure OpenAI, natural language query) into dashboards and solutions to enable conversational analytics and faster self-service insight discovery
• Prototype and operationalize machine learning models (e.g., abandonment risk, persistence prediction, gross-to-net forecasting) in partnership with IT and data science partners
Market Access Insights & Decision Support:
• Analyze payer patient claims data to surface coverage trends, prior auth/step edit impact, prescription abandonment, and net price dynamics
• Mine wholesaler EDI 852 (inventory) and EDI 867 (sales-out) data to identify channel trends, demand signals, and inventory health across distribution partners
• Translate patient services data (copay utilization, max-out rates, PAP enrollment velocity, specialty pharmacy fill rates and time-to-fill) into actionable insights for patient experience improvement
• Partner with Payer Strategy, Trade, Patient Services, and Field Sales to define KPIs and answer the "so what" behind the data
• Leverage AI-driven anomaly detection and pattern recognition to proactively flag coverage shifts, channel disruptions, and patient access risks before they impact performance
Patient Journey & Specialty Pharmacy Analytics:
• Build prescription journey analytics in partnership with specialty pharmacy partners to track each patient touchpoint - referral, BV/PA, copay adjudication, first fill, refill, persistence, and discontinuation
• Identify drop-off points, friction, and intervention opportunities across the patient journey
• Provide insights that inform copay program design, PAP eligibility expansion, and EMR/e-coupon optimization
• Apply predictive AI/ML models to identify patients at risk of abandonment or non-persistence and recommend targeted, data-informed interventions
Gross-to-Net & Revenue Analytics:
• Develop analytics that monitor gross-to-net drivers (rebates, copay spend, PAP cost, returns, chargebacks) and surface variance early
• Support top-line growth analytics through demand forecasting, contract performance tracking, and pull-through measurement
• Partner with Finance and Government Pricing to ensure analytical consistency across reporting outputs
• Use AI-powered forecasting and scenario modeling to stress-test gross-to-net assumptions and accelerate financial planning cycles
Data Governance & Integrity:
• Establish standardized business rules, definitions, and reporting logic across Market Access datasets
• Partner with IT, Master Data, and external data vendors to resolve quality issues and improve data freshness/completeness
• Maintain trusted, audit-ready datasets used in executive-level reporting
• Champion responsible AI principles - including data privacy, model transparency, and compliance with HIPAA and pharma regulatory requirements - in all AI-enabled solutions
Experience and Education Requirements:
• BS / BA required (Master's preferred) in Data Science, Computer Science, Information Technology, Statistics, Applied Math, Economics, Information Systems, Business Administration, or related field. Equivalent working experience also acceptable.
• 5+ years of progressive experience in data analytics, business intelligence, or data engineering - preferably in pharmaceutical, life sciences, or healthcare environments
• Hands-on experience with pharma data assets including payer claims, wholesaler EDI 852/867, specialty pharmacy data feeds, copay/PAP transactional data, and 867/852-equivalent sales-out data
• Demonstrated experience designing and delivering production-grade Power BI dashboards and SQL-based data models
• Working experience applying AI, machine learning, and/or Generative AI tools (e.g., Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Python ML libraries) to deliver business solutions
• Strong understanding of Market Access concepts including gross-to-net, payer coverage, formulary dynamics, prior authorization, prescription abandonment, and specialty distribution #LI-SF1
The approximate pay range for this position is $125,000.00 to $160,000.00. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location.
Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at About Us | Nestlé Careers (nestlejobs.com).
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 412611
At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, Compleat Organic Blends®, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.
At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.
Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.
Position Summary:
The Senior Market Access Specialist - Data and Analytics, plays a critical role in enabling data-driven and AI-enabled decision-making across the Market Access organization and the Sales Field. This position is responsible for building end-to-end data and AI solutions - from raw data ingestion through analytics, visualization, predictive modeling, and storytelling - that make the organization smarter, more actionable, and better equipped to compete in the pharmaceutical industry.
The role leverages SQL, Power BI, AI/Generative AI (e.g., Microsoft Copilot, Azure OpenAI), and other modern analytics tools to transform fragmented pharma datasets (payer claims, wholesaler EDI, copay, PAP, and specialty pharmacy journey data) into clear, decision-ready insights. The Sr. Specialist partners closely with Market Access leadership, Trade, Payer Strategy, Patient Services, Sales Operations, Finance, IT, and external partners (specialty pharmacies, wholesalers, copay/PAP vendors) to translate business needs into technical and AI-powered solutions that drive revenue growth, protect gross-to-net, and improve the patient experience.
Key Responsibilities:
Data Solution Development:
• Design, build, and maintain SQL-based data models and Power BI dashboards that integrate payer claims, EDI 852/867, copay, PAP, and specialty pharmacy data
• Develop automated, production-grade reporting solutions that replace manual spreadsheets and accelerate decision cycles
• Build self-service analytics products tailored to Market Access leaders, payer account managers, trade managers, and field sales teams
• Apply best-in-class data engineering practices (data validation, version control, documentation) to ensure scalability and reliability
• Embed AI and Generative AI capabilities (e.g., Microsoft Copilot, Azure OpenAI, natural language query) into dashboards and solutions to enable conversational analytics and faster self-service insight discovery
• Prototype and operationalize machine learning models (e.g., abandonment risk, persistence prediction, gross-to-net forecasting) in partnership with IT and data science partners
Market Access Insights & Decision Support:
• Analyze payer patient claims data to surface coverage trends, prior auth/step edit impact, prescription abandonment, and net price dynamics
• Mine wholesaler EDI 852 (inventory) and EDI 867 (sales-out) data to identify channel trends, demand signals, and inventory health across distribution partners
• Translate patient services data (copay utilization, max-out rates, PAP enrollment velocity, specialty pharmacy fill rates and time-to-fill) into actionable insights for patient experience improvement
• Partner with Payer Strategy, Trade, Patient Services, and Field Sales to define KPIs and answer the "so what" behind the data
• Leverage AI-driven anomaly detection and pattern recognition to proactively flag coverage shifts, channel disruptions, and patient access risks before they impact performance
Patient Journey & Specialty Pharmacy Analytics:
• Build prescription journey analytics in partnership with specialty pharmacy partners to track each patient touchpoint - referral, BV/PA, copay adjudication, first fill, refill, persistence, and discontinuation
• Identify drop-off points, friction, and intervention opportunities across the patient journey
• Provide insights that inform copay program design, PAP eligibility expansion, and EMR/e-coupon optimization
• Apply predictive AI/ML models to identify patients at risk of abandonment or non-persistence and recommend