BeOne Medicines logo
BeOne Medicines

Cancer has no borders. Neither do we.

Associate Director, Pipeline Analytics

DirectorDirectorFull TimeRemoteSeniorTeam 10,001+Since 2010H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

77 days ago

Salary

$145.5K - $195.5K / year

Seniority

Senior

Postgraduate Degree6 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformPythonSQLTableau

Job Description

• Lead quantitative assessments of pipeline molecules, integrating clinical, commercial, and regulatory factors to evaluate potential success. • Develop predictive models and scenario analysis frameworks to assess asset progression probability and market access feasibility. • Utilize claims data and real-world evidence (RWE) to develop Line of Therapy (LoT) models. • Provide data-driven insights into portfolio prioritization, ensuring BeOne Medicines' R&D investments are aligned with strategic growth objectives. • Conduct competitive intelligence analyses, tracking industry trends and market opportunities. • Collaborate cross-functionally with R&D, Commercial, Finance, and Business Development teams. • Analyze clinical, preclinical, and biomarker data to identify differentiation opportunities. • Develop valuation models for pipeline molecules, integrating scientific, clinical, regulatory, and market access considerations. • Support strategic planning for market entry, lifecycle management, and geographic expansion. • Present findings to senior leadership, distilling complex analyses into clear insights.

Job Requirements

  • Advanced degree (e.g., Masters, PhD) in engineering, life science, statistics, computer science, or related quantitative field.
  • 6+ years of experience with a Master’s, or 6+ years with a PhD, in pipeline analytics, portfolio strategy, or data-driven R&D decision-making.
  • 8+ years of consulting or commercial pharmaceutical industry experience.
  • Expertise in pipeline analytics, asset valuation, and R&D investment modeling.
  • Deep expertise in claims data analysis, RWE, and epidemiology to model Line of Therapy (LoT) development.
  • Strong understanding of clinical trial design, regulatory pathways, and market access considerations.
  • Experience with data visualization platforms (Tableau, Power BI, Spotfire).
  • Proficiency in Python, R, SQL, and cloud-based data analytics platforms (AWS, Azure, or GCP).
  • Experience working with real-world evidence (RWE) and health economics datasets.
  • Experience building workflows in Dataiku is highly desirable.

Benefits

  • Medical
  • Dental
  • Vision
  • 401(k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness

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