Director, Biostatistics FSP

Cytel

Helena (MT)

On-site

USD 140,000 - 210,000

Full time

4 days ago
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Job summary

Cytel in the United States is seeking a Medical Affairs & HTA Statistician to provide strategic and technical statistical expertise across the product lifecycle, with emphasis on real-world evidence, comparative effectiveness, and HTA submissions. You will translate clinical and observational data into scientifically robust evidence for patients, clinicians, payers, and health systems.

The role requires strong statistical methods and cross-functional collaboration to support evidence-generation

Qualifications

  • Senior-level statistical/biostatistical experience within the pharmaceutical or healthcare environment.
  • Experience delivering Medical Affairs and/or HTA statistical work packages.
  • Broad methodological expertise spanning clinical, observational, and real-world data.
  • Strong experience in one or more of: RWE, epidemiological research, comparative effectiveness, indirect treatment comparisons, synthetic controls, HTA/HEOR, or Phase IV research.
  • Strong understanding of evidence-generation strategies across the pharmaceutical product lifecycle.
  • Ability to assess data quality, methodological limitations, bias, uncertainty, and applicability of evidence.
  • Experience communicating statistical findings in publications, scientific discussions, and/or evidence packages.
  • Strong scientific judgement, strategic thinking, and stakeholder-management skills.
  • Ability to collaborate across multidisciplinary and geographically distributed teams.

Responsibilities

  • Provide statistical leadership for Medical Affairs and HTA evidence-generation activities.
  • Support development of evidence strategies addressing clinical, patient, payer, and healthcare-system questions.
  • Design and analyse observational and real-world evidence studies.
  • Apply epidemiological and statistical methodologies to real-world and clinical data.
  • Conduct comparative-effectiveness assessments and indirect treatment comparisons.
  • Support synthetic-control approaches, Phase IV studies, and other post-approval evidence-generation activities.
  • Apply appropriate HTA/HEOR methodologies and contribute statistical expertise to evidence packages supporting access and reimbursement decisions.
  • Assess data relevance and quality, quantify and communicate uncertainty, and strengthen the methodological credibility of HTA submissions and scientific discussions.
  • Interpret clinical and observational evidence and translate complex analyses into clear scientific conclusions.
  • Support publications, congress activities, and other scientific communications where required.
  • Apply modern analytical methods, including machine learning, where scientifically appropriate.
  • Collaborate with Development Statistics, Epidemiology, Real-World Evidence teams, Medical functions, and external scientific partners.
  • Communicate statistical concepts and findings effectively to cross-functional and external stakeholders.

Skills

Senior-level biostatistics
HTA/statistical work packages
Statistical leadership
Cross-functional collaboration
Machine learning

Job description

Medical Affairs & HTA Statistician

Role Summary

The Medical Affairs & HTA Statistician will provide strategic and technical statistical expertise supporting evidence generation across the product lifecycle, with particular emphasis on Medical Affairs, real-world evidence, comparative effectiveness, and Health Technology Assessment.

The role will translate clinical, observational, and real-world data into scientifically robust evidence addressing questions relevant to patients, clinicians, payers, and healthcare systems. It requires a combination of strong statistical methodology, scientific judgement, strategic thinking, and effective cross-functional communication.

Key Responsibilities

  • Provide statistical leadership for Medical Affairs and HTA evidence-generation activities.
  • Support development of evidence strategies addressing clinical, patient, payer, and healthcare-system questions.
  • Design and analyse observational and real-world evidence studies.
  • Apply epidemiological and statistical methodologies to real-world and clinical data.
  • Conduct comparative-effectiveness assessments and indirect treatment comparisons.
  • Support synthetic-control approaches, Phase IV studies, and other post-approval evidence-generation activities.
  • Apply appropriate HTA/HEOR methodologies and contribute statistical expertise to evidence packages supporting access and reimbursement decisions.
  • Assess data relevance and quality, quantify and communicate uncertainty, and strengthen the methodological credibility of HTA submissions and scientific discussions.
  • Interpret clinical and observational evidence and translate complex analyses into clear scientific conclusions.
  • Support publications, congress activities, and other scientific communications where required.
  • Apply modern analytical methods, including machine learning, where scientifically appropriate.
  • Collaborate with Development Statistics, Epidemiology, Real-World Evidence teams, Medical functions, and external scientific partners.
  • Communicate statistical concepts and findings effectively to cross-functional and external stakeholders.

Qualifications & Experience

  • Senior-level statistical/biostatistical experience within the pharmaceutical or healthcare environment.
  • Demonstrated experience delivering Medical Affairs and/or HTA statistical work packages.
  • Broad methodological expertise spanning clinical, observational, and real-world data.
  • Strong experience in one or more of: RWE, epidemiological research, comparative effectiveness, indirect treatment comparisons, synthetic controls, HTA/HEOR, or Phase IV research.
  • Strong understanding of evidence-generation strategies across the pharmaceutical product lifecycle.
  • Ability to assess data quality, methodological limitations, bias, uncertainty, and applicability of evidence.
  • Experience communicating statistical findings in publications, scientific discussions, and/or evidence packages.
  • Strong scientific judgement, strategic thinking, and stakeholder-management skills.
  • Ability to collaborate across multidisciplinary and geographically distributed teams.

Cytel Inc. is an Equal Employment / Affimative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

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