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Senior Director, Real World Evidence (Center of Excellence Lead) [Remote]

$280k - $308k
Full-time

jobgether

United States
  • Remote job

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Director, Real World Evidence (Center of Excellence Lead) based in the United States.

In this senior leadership role, you will define and drive the strategic and operational execution of a Real-World Evidence Center of Excellence supporting a broad oncology and endocrine-focused pipeline. You will lead a team responsible for designing and delivering high-impact real-world studies that inform regulatory strategy, market access, and clinical development decisions. Acting as both scientific authority and organizational leader, you will shape methodological standards, data infrastructure, and evidence-generation frameworks across the enterprise. You will collaborate closely with cross-functional leaders in HEOR, Medical Affairs, Clinical Development, Biometrics, and Commercial teams to ensure evidence is aligned with portfolio priorities. This role combines strategic vision with hands-on scientific leadership, overseeing complex observational research using large-scale real-world datasets. It is a highly visible position influencing global evidence strategy, external scientific engagement, and long-term organizational capability in real-world analytics.

Accountabilities

  • Lead the end-to-end Real-World Evidence (RWE) program, translating enterprise evidence priorities into high-quality observational study designs and deliverables.
  • Provide strategic leadership, mentorship, and career development for a team of RWE Scientists, ensuring strong capability building and effective resource allocation.
  • Oversee design and execution of studies including burden-of-illness, patient journey, drug utilization, comparative effectiveness, external control arms, and HTA-supportive analyses.
  • Establish methodological standards, statistical frameworks, protocol templates, and quality benchmarks for all RWE activities.
  • Lead the development and execution of registry-based studies and large healthcare database analyses across the product lifecycle.
  • Partner with IT and Commercial teams to build scalable real-world data infrastructure and analytics capabilities.
  • Drive governance, vendor management, and contracting standards for external data sources and research partners.
  • Collaborate with HEOR Therapeutic Area Leads to translate evidence needs into executable research plans and integrated evidence strategies.
  • Contribute to value dossiers, HTA submissions, and global evidence packages supporting market access and regulatory engagement.
  • Lead publication strategy and represent the organization at scientific conferences, ensuring strong external visibility of RWE outputs.
  • Build and maintain strategic partnerships with academic institutions, data providers, and analytics vendors.
  • Ensure compliance with applicable regulatory, ethical, and data governance standards across all RWE activities.
  • Champion innovation in advanced analytics, including AI-enabled tools and scalable evidence-generation platforms.

Requirements

  • Advanced degree (PhD, MD, PharmD, MPH, MSc, or equivalent) in epidemiology, biostatistics, health economics, health services research, or a related field.
  • Minimum of 13+ years of experience in pharmaceutical, biotechnology, or HEOR consulting environments focused on real-world evidence.
  • At least 10 years of leadership experience managing teams and large-scale RWE or HEOR programs.
  • Demonstrated expertise in designing and executing observational studies using large real-world datasets across multiple phases of the product lifecycle.
  • Proven experience leading center-of-excellence or enterprise-level RWE functions across multiple assets or therapeutic areas.
  • Strong background in building external data partnerships and managing vendor ecosystems.
  • Experience supporting regulatory submissions, HTA dossiers, and market access evidence requirements.
  • Deep methodological expertise in epidemiology, outcomes research, and quantitative analytics.
  • Strong leadership, communication, and stakeholder management skills with the ability to influence senior executives.
  • Ability to operate effectively in complex, fast-paced, and matrixed environments.
  • Preferred: experience in commercial-stage biotech/pharma and exposure to global (including ex-U.S.) RWE requirements.
  • Preferred: familiarity with AI-enabled analytics platforms and advanced data science approaches in RWE generation.

Benefits

  • Competitive annual salary ranging from $280,000 to $308,000 , based on experience and qualifications.
  • Eligibility for a discretionary annual performance bonus.
  • Equity participation including stock options and Employee Stock Purchase Plan (ESPP).
  • Comprehensive health coverage including medical, dental, vision, and life insurance for employees and families.
  • Retirement benefits including a 401(k) match program.
  • Paid time off including 20 days of PTO, 10 paid holidays, and a seasonal company shutdown.
  • Opportunity to shape enterprise-level real-world evidence strategy with high scientific and organizational impact.
  • Exposure to cutting-edge analytics, data infrastructure development, and AI-enabled evidence generation.
  • Strong culture of scientific innovation, collaboration, and external academic engagement.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Vacancy posted 10 hours ago
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