For People is a team of skilled technologists improving government digital services for disadvantaged and vulnerable populations. We embed directly in government agencies to modernize software, systems, and platforms so that they better serve people. Your Impact You'll be a key hands-on contributor to a high-profile project with the Centers for Medicare & Medicaid Services (CMS) that impacts millions of people. We're working to transform a manual data process into an automated solution, and you will be at the heart of that technical work. As a Senior Data Scientist, you will write queries and implement the business logic that drives this new system. Your work will directly ensure that accurate, timely data reaches state governments, strengthening the integrity of the nation's Medicaid program. Our Culture For People is a team of humans. We place a significant amount of emphasis on positive work-life balance, setting healthy expectations, and making sure our loved ones are taken care of first. That means picking a child up from school during the day or going for a mid-day walk is okay! This position is 100% remote. Our entire team is remote across the United States, from the West Coast to the East Coast. There will never be a return-to-office, as we have none! This position's published base salary range is between $120,000 and $140,000 annually, plus generous benefits (e.g., For People pays 100% of Gold-tier employee health insurance premiums) and annual company profit sharing. Your Opportunities At For People, you will: - Design, write, and optimize complex SQL queries to extract and manipulate information from government Medicaid datasets like T-MSIS. - Translate intricate policy requirements and business rules into accurate, efficient, and testable data transformations. - Develop and implement data quality checks to ensure the integrity and accuracy of sensitive enrollee data containing PHI. - Collaborate closely with data engineers to build, test, and deploy a new automated data pipeline within a cloud-based data lakehouse platform. - Work with business analysts and government stakeholders to understand, refine, and document data requirements for the project. - Develop reporting mechanisms that provide insights back to the client. You Bring - 6+ years of hands-on experience as a data scientist, with a proven track record of delivering complex data projects. - Expert-level proficiency in SQL for querying and manipulating large, complex datasets. - Strong programming skills in Python for data analysis, scripting, and automation. - Experience working with data pipelines and ETL processes in a modern cloud environment. - A deep curiosity and passion for untangling complex problems and a drive to see your work create a positive social impact. Prior exposure to healthcare, CMS, or state Medicaid data is a bonus.Additional Details You will be working on a United States government platform, and they have a few basic requirements for contractors like ourselves. You must perform all work physically within the United States at all times. In addition, you must be a United States citizen and be able to pass a government-performed public trust background check. For People is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, and/or veteran status.

Bring more to life. Are you ready to accelerate your potential and shape the future of diagnostics through scientific evidence and research innovation? Within Danaher Diagnostics, one of Danaher’s three global segments, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. You’ll thrive in a culture where your unique perspective matters, and where ideas turn into impact through the power of the Danaher Business System (DBS). The Senior Scientist Clinical Science & Evidence Generation, Chief Innovation Office (CIO) is a senior enterprise leader responsible for setting the vision and driving the execution of Danaher’s clinical science, evidence generation, and research innovation agenda. This role influences strategy across disease franchises—including neurodegenerative disease, oncology, and infectious disease & acute care (IDAC)—as well as enabling functions such as Value & Access, Data Science, and Medical & Scientific Affairs (MedSci). Position Purpose This leader will shape Danaher’s evidence generation and clinical innovation strategies, integrating scientific rigor with real-world data to ensure our diagnostic solutions deliver measurable impact on patients, providers, and health systems worldwide. In this role, you will have the opportunity to: - Lead evidence generation programs across the Chief Innovation Office (CIO), defining evidence needs and executing programs with internal and external stakeholders, advancing applications of real-world evidence. - Translate evidence into high-impact scientific communications—including peer-reviewed publications, conference presentations, and white papers—to accelerate Danaher’s leadership across key disease franchises. - Direct and contribute to AI- and data-intensive diagnostic research projects, from hypothesis generation and study execution to research publication, leveraging strategic partnerships and open innovation frameworks. - Create and sustain Integrated Evidence Plans (IEPs) that define product profiles, evidence requirements, and strategic deliverables to ensure medical/clinical value drives decision-making and successful product launches. - Contribute to a high-performing senior research team, establishing governance, KPIs, and capability-building frameworks, while serving as a core member of the Chief Medical Office (CMO) team to shape enterprise priorities and long-term strategy. The essential requirements of the job include: - Advanced degree (MD or PhD) in biomedical sciences, engineering, or a related discipline. - Demonstrated expertise in delivering research and evidence deliverables within industry or academia. - Proven ability to guide multidisciplinary teams—including clinicians, technical experts, and data scientists—from data to actionable insights. - Strong publication track record; ability to translate complex data into impactful scientific communications. - Broad understanding of diagnostics and how they integrate with healthcare practice, with the ability to rapidly learn new scientific fields. Preferred qualifications: - Applied knowledge of research methodologies for real-world evidence generation, including advanced statistical approaches (e.g., longitudinal time series, causal inference, survival analyses). - Clinical domain expertise in one or more priority disease areas: neurodegenerative disease, oncology, or infectious disease & acute care. - Hands-on experience directing or applying generative AI workflows to diagnostic research. Remote Work and Benefits This position will be based in the United States and is eligible for a remote work arrangement. We offer a comprehensive and competitive benefits package that supports your well-being and professional growth. Learn more at Danaher Benefits Info. The salary range for this role is $120,000 – $180,000, plus bonus eligibility. Actual compensation will be determined based on experience, location, and other factors permitted by law. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, and 401(k) to eligible employees. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve. Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies Certified as a Great Place to Work® Fortune Best Workplaces in Financial Services & Insurance Marketing Analytics Lead PRIMARY PURPOSE OF THE ROLE: The Marketing Analytics Lead builds, maintains, and operationalizes a trusted marketing data foundation that powers reporting, insights, and AI-ready analytics. This role is primarily a marketing data engineering position with secondary responsibility for insights and performance reporting. The Marketing Analytics Lead designs and manages scalable ETL/ELT pipelines and analytics-ready data models across the marketing ecosystem—CRM, marketing automation, paid media, web analytics, and messaging platforms—ensuring data is accurate, governed, and accessible for full-funnel measurement. ESSENTIAL RESPONSIBILITIES MAY INCLUDE Marketing Data Engineering (ETL/ELT, Warehousing & Modeling) - Designs, develops, and maintains reliable ETL/ELT pipelines that ingest and unify marketing data from multiple systems (e.g., CRM, marketing automation, paid media, web analytics), ensuring timely and accurate data availability. - Builds and optimizes analytics data stores and curated, analytics‑ready datasets that support scalable reporting, self‑service analysis, and standardized full‑funnel measurement. - Develops and maintains marketing data models and reusable structures that enable core use cases such as campaign performance, funnel and conversion analysis, attribution/influence reporting, and account lifecycle measurement. - Implements and maintains standardized definitions, keys, and documentation (e.g., taxonomies, lifecycle stages, lineage, metadata) to ensure consistent interpretation, data quality, and downstream usability. Reporting, Insight & Stakeholder Enablement - Builds and maintains dashboards and recurring performance reporting that supports marketing leadership, demand generation, and sales alignment—focused on business outcomes (pipeline contribution, revenue influence, account engagement). - Partners with the Marketing Analytics Director to deliver insights and recommendations by summarizing trends, identifying drivers, and highlighting opportunities for optimization across channels and funnel stages. - Translates stakeholder questions into analytical approaches, ensuring metrics and outputs are clear, actionable, and aligned to documented definitions. - Supports measurement approaches for B2B marketing motions (ABM/account engagement, lead nurturing, sales enablement influence, events/webinars, and partner marketing) by enabling consistent tracking, reporting, and interpretation. Monitoring, Reliability & Cost/Performance Optimization - Monitors and troubleshoots pipelines and integrations; proactively identifies failure points, resolves incidents, and improves resiliency through alerting, validation checks, and documented recovery steps. - Optimizes queries, storage, and processing costs in cloud and/or on-prem environments by tuning pipelines, applying partitioning/cluster strategies where applicable, and improving transformation efficiency. - Maintains detailed runbooks and operational documentation to support continuity, scalability, and onboarding. Data Quality, Governance, Security & Compliance - Ensures data quality, accuracy, reliability, and performance across the marketing data ecosystem through validation rules, anomaly detection, automated testing, and monitoring. - Implements data governance best practices, including documentation, data dictionaries, naming conventions, retention guidelines, and access controls aligned with enterprise standards. - Partners with IT, security, privacy, and compliance stakeholders to ensure data handling aligns with regulatory expectations and internal policies (e.g., least-privilege access, PII controls). - Establishes and maintains clear source logic for key marketing entities (accounts, contacts/leads, campaigns, opportunities) within the marketing data domain, including identity resolution and deduplication techniques. Cross-Functional Collaboration - Collaborates closely with Performance Marketing, Demand Generation, Sales Ops/RevOps, Finance, and IT to align on KPIs, attribution approaches, and data definitions within the marketing measurement ecosystem. - Supports enablement of broader marketing teams through documentation, training, and consultation on how to use datasets and dashboards effectively. - Leads discrete workstreams or small projects by coordinating timelines, requirements, and dependencies across stakeholders without direct people management responsibility. QUALIFICATIONS Bachelor’s degree in marketing or a related field from an accredited college or university preferred. Six (6) years of experience in marketing analytics, marketing data engineering, data engineering, BI engineering, or closely related roles—preferably in B2B, services, or complex sales cycles, or equivalent combination of education and experience required. Demonstrated ability to build and maintain ETL/ELT pipelines that integrate data from CRM, marketing automation, advertising, and web/product analytics platforms. Strong background working with CRM and marketing platforms (e.g., Salesforce/HubSpot; Marketo, Pardot, Braze), including funnel, lifecycle, campaign, and opportunity data. Proficiency incorporating digital advertising and web analytics data (e.g., Google Ads, Meta, LinkedIn, GA4, Adobe Analytics, Segment) to support attribution and performance measurement. Deep understanding of data warehousing and analytics engineering best practices, including dimensional modeling and supporting downstream reporting and dashboards. Experience operating in environments requiring high standards for data quality, governance, privacy, and compliance. WORK ENVIRONMENT When applicable and appropriate, consideration will be given to reasonable accommodations. Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines Physical: Computer keyboarding, travel as required Auditory/Visual: Hearing, vision and talking The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves working with IQVIA Information Partner Services Data Science team to help address business issues and opportunities from retail pharmacies using established methodologies and machine learning and statistical analysis tools under the supervision of other Data Scientists. - Use advanced Data Exploration and Machine Learning knowledge to identify and deliver business insights in partnership with Engagement Managers and other Data Scientists - Support the execution of data science projects and promote data-centric decision making - Develop machine learning and statistical models following best practices for re-usability, stability, automation and documentation including models’ assumptions - Provide expertise in statistical/ML methodologies - Support project execution following detailed guidelines under detailed to moderate supervision Qualifications - Must be currently pursuing a masters degree in Data Science, Analytics, Statistics, Economics, Computer Science, Mathematics, Physics, or another related field with a strong focus on quantitative analysis, including an acceptable number of courses in programming languages and theory - Background in delivering insights using statistical, data mining and machine learning concepts and algorithms in developing frameworks like Python or R - Excellent presentation & communication, critical thinking and problem-solving skills - Demonstrate analytical skills and experience with advanced analytics / data science projects - Intermediate knowledge of Excel and exposure to visualization software such as Tableau, PowerBI, SAS or R/Python visualization packages Company Description 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.