Associate Director

Associate Director

Curta is seeking a full‑time Associate Director to join our team in a fully remote position. If you are based in the UK, Europe, or Canada, Curta may offer a full‑time contractor engagement depending on local employment regulations. Regardless of employment structure, contractors are fully integrated into our project teams and professional development opportunities.

Curta is not open to sponsoring a work visa for this position.

Curta is a premier research organization that offers expertise and broad capabilities to help plan, generate, and execute evidence generation strategies and tactics. At Curta, we are proud to offer personalized solutions to help shape and improve how our clients think about the possibilities of collaborative HEOR projects.

• Lead the design and execution of various scientific research studies (eg, real‑world data analyses, economic models, evidence synthesis) with accountability for analytic rigor and scientific quality.
• Independently lead multiple concurrent client engagements end‑to‑end, with full accountability for timelines, budgets, deliverables, and client relationships.
• Communicate findings to senior client stakeholders, payer audiences, and external scientific forums, emphasizing actionable interpretation and strategic implications.
• Serve as senior author or scientific lead on study reports, manuscripts, abstracts, posters, and slide decks; oversee quality control of team deliverables.
• Lead client scoping discussions, proposal development, and study design negotiations; own scientific positioning and methodological recommendations for new business opportunities.
• Mentor and develop research associates and senior research associates, providing methodological guidance, project leadership, and feedback on scientific writing and analytic work.
• Contribute to the strategic growth of the HEOR practice, including thought leadership, capability development, and identifying opportunities for expanded client engagement.

• Advanced degree (MS, Pharm
  
  D, or PhD) in biostatistics, statistics, epidemiology, health economics, health services research, pharmacy, or a related quantitative discipline.
• PhD with 6 or more years of relevant experience in HEOR consulting, biopharmaceutical industry, or applied health research; or MS/Pharm
  
  D with 8 or more years of relevant experience.
• Familiarity with a range of HEOR study types and methods, including RWE study design, observational and pharmacoepidemiologic methods, economic modeling, and indirect comparison methods.
• Ability to read, critically appraise, and synthesize peer‑reviewed scientific literature.
• Excellent written and verbal scientific and client‑facing communication skills, including experience presenting to executive, payer, or regulatory audiences.
• Excellent organizational skills and attention to detail.
• Demonstrated ability to lead remote, cross‑functional project teams and work effectively across internal and client stakeholders.
• Demonstrated track record of independently leading HEOR studies end‑to‑end, from scoping through dissemination.
• Experience managing client relationships, including leading scoping calls, project status meetings, and scientific discussions with senior client stakeholders.
• Experience mentoring or supervising junior researchers, providing methodological guidance and feedback on scientific deliverables.
• Track record of peer‑reviewed publications and/or conference presentations in HEOR or a related field.

• Experience leading proposal development and business development in an HEOR consulting setting.
• Therapeutic‑area depth in one or more priority areas (eg, oncology, immunology, neurology, cardiology, rare disease).
• Working knowledge of contemporary access and pricing challenges (eg, JCA, Medicare IRA, MFN).
• Experience supporting systematic literature reviews.
• Experience with economic modeling (cost‑effectiveness, budget impact).
• Comfort using AI‑assisted tools (eg, Claude, Claude Code).
• Experience supporting health technology assessment or value assessment submissions (eg, NICE).
• Experience evaluating AI‑enabled or digital health technologies (eg, diagnostic algorithms, clinical decision support).
• Experience working in a fully remote, digital workspace.