Title: Senior Epidemiologist, Real-World Evidence (FSP Sponsor Dedicated) Location: - US Remote - Durham, North Carolina, United States of America - Minneapolis, MN - Boston, MA - Wayne, PA, United States of America - New York, NY - San Francisco, CA Job Description: Join IQVIA's Sponsor-Dedicated FSP team and help advance healthcare through real-world evidence. We bring together scientific expertise and real-world data to help sponsors make decisions and accelerate evidence generation to improve patient outcomes. In this role, you'll work closely with one sponsor, gaining deep knowledge of their therapies while leveraging IQVIA's global expertise. Overview: IQVIA is seeking an accomplished epidemiology leader to drive the design and execution of innovative real-world evidence (RWE) strategies for a leading sponsor organization. This senior role combines scientific rigor with strategic influence, enabling you to shape high-impact observational research that informs clinical development, regulatory decisions, and market access. Responsibilities: Study Lead: Lead execution of studies to generate actionable RWE within agreed timelines, budgets, and quality standards. Focus areas include but not limited to: - External comparators - Natural history of disease - Treatment patterns and switching - Comparative safety/effectiveness Epidemiology Leadership: Design and drive development of study protocols, statistical analysis plans, and study reports addressing priority methodological questions. Data Strategy: Conduct feasibility and assessment of fit-for-purpose real-world data (RWD) sources (claims, EHR, registries) to enable timely execution of RWE initiatives. RWD expertise: Construct cohorts, validate key variables, and guide implementation of descriptive and comparative analyses using RWD for complex research questions. Stakeholder Engagement: Build strong partnerships with internal teams, external vendors, and sponsor stakeholders to ensure alignment and delivery of strategic objectives. What's in it for you? - Be part of a forward-thinking team that helps shape the next generation of evidence-based healthcare. - Work hand-in-hand with one leading sponsor, gaining deep expertise in their therapies. - Access IQVIA's global network who supports your growth This is your chance to make an impact, while building a career that matters. This is a remote role. Candidates must be based in the US. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is $110,500.00 - $276,100.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Role Description ADP, Inc. is hiring Lead Data Scientists in our Roseland, NJ location. Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day? Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging? Well, this may be the role for you! Ready to design what’s next? To thrive in this career, you’ll need to be enthusiastic, eager to learn, and take on stretch assignments. You strive to learn new technologies and find ways to incorporate what you learn into building your results. You’ll be curious, persistent, and at times persuasive. As part of our team, you’ll find exciting challenges, get opportunities to grow your career, and develop solid friendships as we design what’s next for ADP and the industry. Pace should not scare you. We still find time for a healthy dose of fun. WHAT YOU’LL DO: - Build Teams that thrive: As an experienced leader, you want everyone to shine. You are constantly looking for ways to share your knowledge, motivate others, and keep everyone engaged and productive. - Learning: You’re always learning new technologies and processes with tools and other training courses, conferences ADP offers, and operating with a “learn as you go” approach with a willingness to figure out new ways of doing things. - Create Results: You’re proactive and hands-on. When you see a potential issue, you never leave things hanging and unfinished. When you and your team deliver a finished product, it’s as polished as you could make it. - Continuous Learning: You will actively collaborate with other associates to share ideas or show what you’ve learned. You are eager to learn, keep up with ever-changing technologies, and maintain the ability to create the best tools for our clients. - Variety of work: There is no typical day. You could be checking in with a team in India one minute, meeting with leadership to review initiatives for the coming quarter later, and tomorrow handling a few ad hoc requests from your peers in other departments. - Influence and inspire confidence: You are comfortable presenting to senior leaders, product owners, and peers with a compelling voice that you demonstrate through executive presence, leading change, and creating clear executive-level communications on milestone achievements. - Challenges: Inevitable challenges will arise, and we’ll rely on you to look for a solution. Responsibilities: - Responsible for serving as an owner of the Retirement Services Analytics data with an understanding of data sources and connections to other data sources within ADP including sales and technology operations to assist build capabilities with the Technology team. - Own the Monthly Strategy data process and accuracy for Retirement Services (RS) with the Field Enablement and Global Technology organization. - Assist in evaluating data sources and connections to RS data. - Design and build statistical and machine learning models, including regression, clustering, and decision trees, to identify main drivers of sales, efficiency, and client experience-related metrics. - Create data dashboards/visualizations and presentations to highlight findings and recommendations. - Extract, merge, clean, and normalize statistical data sources for analytical studies. - Implement statistical tracking methods to measure the business impact of recommendations. - Identify key drivers of business metrics to provide recommendations to improve client experience and business outcomes. Qualifications - Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics, or related field of study and six (6) years of related experience required. The company will also accept a Master's degree and four (4) years of related experience. - Telecommuting permitted. Requirements - Two (2) years of experience must include: - Programming languages, including Python, R or SQL; - Data manipulation and modeling including Extract, Transform, Load (ETL), Linear and Logistic Regression Modeling, Decision Tree and Random Forest Modeling, and Churn Analytics; - Big Data and cloud services (e.g., AWS); - Data Visualization using tools and technologies including Tableau; - Building PowerPoint presentations and storytelling using data to executive leadership. Benefits - Have courageous team collaboration. - Deliver at an epic scale. - Be surrounded by curious learners. - Act like an owner & doer. - Give back to others. - Join a company committed to equality and equity. Company Description We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging. ADP has a deep commitment to diversity, equity, and inclusion as a global Best Places to Work, DiversityInc ® Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more.

• Bridge the gap between complex datasets and strategic action. • Synthesize information from various external sources to develop visibility and insights into search recall gaps and emerging topic trends. • Inform Wikimedia’s strategy for ensuring that people continue to find the content they need. • Integrate fragmented data to create a unified view of how users discover and use content. • Translate analytics and complex trends into actionable narratives. • Develop automated systems to detect under-indexed content. • Establish metrics and frameworks for content utilization within Large Language Models. • Collaborate with product leaders to set goals and track success. • Assess efficacy of new initiatives through experiment design and analysis • Interpret website performance data to inform UX/UI enhancements.

• Design, prepare data and conduct analysis and delivery of RWE analyses for biopharma clients. • Generate insights from complex real-world endpoints using extensive coding, demonstrating deep comprehension of Natera clinical and molecular data structures and complexity. • Build technical standards by implementing advanced methods in survival analysis, machine learning and predictive modeling. • Integrate practical adoption of Natera tools including: LLMs and agentic tools into your own daily workflow. • Own the communication of high impact/value results to internal stakeholders and external partners. • Collaborate with internal product, oncology, and clinical abstraction, medical, scientific, business development and consortia teams to continually enhance Natera data quality, products, and analytical best practices. • Proactively identify gaps in current products and ensure that customer feedback is collected and integrated into the Natera product road map. • Maintain deep expertise in oncology clinical guidelines (e.g., NCCN) and emerging RWE methodologies.