
51 - 200 employees
🧬 Biotechnology
💊 Pharmaceuticals
🔥 Funding within the last year
💰 $500M Post-IPO Debt - Celcuity on 2025-09
Biotechnology • Pharmaceuticals
Celcuity is a clinical-stage biotechnology company developing targeted therapies that comprehensively block the PI3K/AKT/mTOR (PAM) pathway to treat multiple solid tumors. Its lead product candidate, gedatolisib, is a potential first-in-class pan-PI3K and mTORC1/2 inhibitor in late-stage clinical development (including Phase 3 VIKTORIA trials) for HR+/HER2- advanced breast cancer and other indications such as prostate cancer. The company advances a focused pipeline of PAM pathway inhibitors, publishes clinical data, engages with investors and regulators, and is mission-driven to improve outcomes for cancer patients.
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51 - 200 employees
🧬 Biotechnology
💊 Pharmaceuticals
🔥 Funding within the last year
💰 $500M Post-IPO Debt - Celcuity on 2025-09
Biotechnology • Pharmaceuticals
Celcuity is a clinical-stage biotechnology company developing targeted therapies that comprehensively block the PI3K/AKT/mTOR (PAM) pathway to treat multiple solid tumors. Its lead product candidate, gedatolisib, is a potential first-in-class pan-PI3K and mTORC1/2 inhibitor in late-stage clinical development (including Phase 3 VIKTORIA trials) for HR+/HER2- advanced breast cancer and other indications such as prostate cancer. The company advances a focused pipeline of PAM pathway inhibitors, publishes clinical data, engages with investors and regulators, and is mission-driven to improve outcomes for cancer patients.
• Lead analytics to evaluate account performance, market share, chargebacks, channel mix and pathway positioning. • Analyze payer coverage policies, utilization management requirements, and reimbursement dynamics impacting access to the company’s oncology therapy. • Monitor policy evolution and identify access risks and opportunities for the product. • Evaluate reimbursement trends, patient services utilization, and claims approval rates. • Develop analytics related to oncology provider economics, including reimbursement benchmarks and buy-and-bill dynamics. • Assess the impact of reimbursement methodologies such as ASP+, temporary and permanent J-codes, and pass-through status. • Support analyses related to site-of-care dynamics across community oncology practices, hospital outpatient departments, and academic centers. • Evaluate provider adoption drivers including reimbursement predictability, margin considerations, and operational barriers. • Develop and maintain dashboards and reporting tools that provide ongoing visibility into payer coverage, account performance, patient access metrics, and market trends. • Integrate multiple internal and external data sources (e.g., claims, 3PL, HUB, and syndicated datasets) to produce actionable insights. • Partner with Sales Ops teams to ensure high-quality data governance, cataloging, and data readiness for market access analytics. • Conduct ad hoc analyses to answer complex commercial questions and identify drivers of brand performance. • Generate insights that inform pricing strategy, contracting scenarios, access strategy, and launch readiness planning. • Support forecast assumptions and scenario modeling by integrating insights across patient, physician, and payer dynamics. • Champion best practices in analytics methodology, data visualization, and insight communication. • Contribute to the development of scalable analytics capabilities supporting the Market Access organization. • Serve as the primary analytics partner for Market Access teams. • Collaborate with Pricing & Contracting, HEOR, Patient Services, Trade & Distribution, Access Marketing and Market Access Field teams to generate insights supporting access strategy. • Translate complex analyses into clear recommendations for leadership decision-making.
• Bachelor’s degree in Business, Analytics, Economics, Data Science, Life Sciences, or related field. • 6–8+ years of experience in pharmaceutical or biotech analytics, market access analytics, consulting, or commercial analytics. • Experience analyzing payer coverage, reimbursement, and patient access dynamics in oncology therapeutics. • Familiarity with medical benefit reimbursement and buy-and-bill models. • Experience working with healthcare datasets such as open and closed claims, remittance, 3PL data, and patient support program data. • Strong analytical and data visualization skills (Excel, SQL, Tableau, Power BI, or similar tools). • Strong communication skills with the ability to translate complex data into actionable business insights.
• Medical insurance • Dental insurance • Vision insurance • 401(k) match • PTO • Paid holidays • Annual performance incentive bonus • New hire equity package
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