
10,000+ employees
🏥 Healthcare
đź’Š Pharmaceuticals
🧬 Biotechnology
đź’° $2G Post-IPO Debt - LabCorp on 2024-09
Healthcare • Pharmaceuticals • Biotechnology
Labcorp is a global leader in laboratory services, diagnostics, and drug development. The company provides testing, data and scientific insights to doctors, hospitals, pharmaceutical companies, researchers and patients, reaching more than 160 million patients annually. Labcorp operates a large global laboratory footprint with roughly 71,000 employees across 100+ countries and invests in advanced technologies (including AI and digital solutions) to accelerate drug development, support precision medicines (such as cell and gene therapies and oncology diagnostics), and inform clinical decision-making.
🔥 1 minute ago
🌲 North Carolina – Remote
đź’µ $115k - $130k / year
⏰ Full Time
đźź Senior
📊 Data Scientist
đź‘» Ghost score 0%
Where this job comes from
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10,000+ employees
🏥 Healthcare
đź’Š Pharmaceuticals
🧬 Biotechnology
đź’° $2G Post-IPO Debt - LabCorp on 2024-09
Healthcare • Pharmaceuticals • Biotechnology
Labcorp is a global leader in laboratory services, diagnostics, and drug development. The company provides testing, data and scientific insights to doctors, hospitals, pharmaceutical companies, researchers and patients, reaching more than 160 million patients annually. Labcorp operates a large global laboratory footprint with roughly 71,000 employees across 100+ countries and invests in advanced technologies (including AI and digital solutions) to accelerate drug development, support precision medicines (such as cell and gene therapies and oncology diagnostics), and inform clinical decision-making.
• Lead Labcorp OnDemand's marketing measurement strategy and establish scalable, privacy-compliant performance-tracking frameworks across marketing channels • Partner with Marketing, Data Engineering, IT, Privacy, and Analytics teams to build a unified marketing data model • Define and govern KPI definitions, event taxonomies, attribution methodologies, tagging frameworks, and campaign tracking standards • Develop and evolve reporting capabilities for executive, marketing, and analytics stakeholders • Build and maintain multi-touch attribution models • Lead evaluation, development, and optimization of Marketing Mix Modeling capabilities • Design and execute incrementality studies, lift tests, geo-based experiments, and other measurement frameworks • Develop predictive models and forecasting capabilities for customer acquisition, lifetime value analysis, and growth planning • Analyze full-funnel performance to improve marketing efficiency, effectiveness, and return on investment • Translate complex analytical findings into business recommendations • Evaluate measurement technologies, analytics platforms, and external partners • Serve as subject matter expert for marketing measurement, attribution, experimentation, and media effectiveness • Support development of a scalable marketing analytics and data science function • Drive continuous innovation in marketing analytics and optimization methodologies
• Bachelor's degree in Statistics, Economics, Econometrics, Mathematics, Data Science, Computer Science, or Analytics • 7 or more years of experience in marketing analytics, data science, marketing measurement, econometrics, or media effectiveness • Experience developing or managing Marketing Mix Models (MMM) • Experience with incrementality testing, geo-experiments, lift studies, and causal measurement methodologies • Experience working in healthcare, diagnostics, eCommerce, consumer health, or highly regulated industries • Familiarity with Freshpaint, Adobe CJA, Databricks, Snowflake, and customer data platforms • Experience evaluating or managing third-party measurement vendors and analytics partners • Experience leading complex analytics initiatives and influencing senior stakeholders through data-driven recommendations • Strong background in digital marketing measurement, attribution, experimentation, and performance analytics • Experience working cross-functionally with marketing, technology, analytics, and data engineering teams • Advanced statistical modeling and econometric analysis • Expertise in experimental design, causal inference, Bayesian statistics, and hypothesis testing • Strong proficiency in Python and SQL • Experience with visualization and reporting tools such as Power BI, Tableau, or similar platforms • Familiarity with Marketing Mix Modeling frameworks, attribution methodologies, and marketing analytics best practices • Experience building predictive models and machine learning solutions in production environments
• Annual bonus eligibility • Medical insurance • Dental insurance • Vision insurance • Life insurance • Short-term disability (STD) • Long-term disability (LTD) • 401(k) • Paid Time Off (PTO) or Flexible Time Off (FTO) • Tuition Reimbursement • Employee Stock Purchase Plan
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