Contract HEOR Statistician (USA)

Schedule: 30- 50%

Duration: 6- 12 months contract

Start Date: May

Location: Remote (USA)

I am seeking a highly skilled and experienced HEOR Statistician specialising in Indirect Treatment Comparisons (ITCs) to join my client, a global CRO. The ideal candidate will have a strong background in statistics, health economics and outcomes research (HEOR), and expertise in conducting rigorous ITC analyses to support evidence-based decision-making in healthcare.

Responsibilities:

• Lead the design, execution, and interpretation of ITC analyses to compare the effectiveness and safety of healthcare interventions, utilizing advanced statistical methods and modeling techniques
• Conduct comprehensive literature reviews to identify relevant studies and collect necessary data for ITCs
• Collaborate with internal and external stakeholders to obtain access to data sources and ensure data quality and integrity
• Apply advanced statistical methodologies, such as network meta-analysis (NMA) and Bayesian hierarchical models, to synthesize evidence from diverse sources and generate robust comparative effectiveness estimates.
• Develop and validate statistical models to account for heterogeneity and uncertainty in ITCs
• Interpret ITC results and communicate findings effectively to internal teams, clients, and regulatory authorities through written reports, presentations, and scientific publications
• Provide clear explanations of statistical methodologies, assumptions, and limitations to facilitate informed decision-making
• Ensure adherence to relevant regulatory guidelines, industry standards, and best practices in conducting ITC analyses
• Implement rigorous quality control procedures to validate analytical results and maintain data integrity throughout the project lifecycle
• Collaborate closely with cross-functional teams, including health economists, clinicians, market access specialists, and decision-makers, to integrate ITC findings into health economic models, reimbursement dossiers, and strategic planning activities.
• Provide methodological guidance and support to colleagues on statistical issues related to HEOR studies.
• Stay abreast of latest developments in statistical methods, health economics, and HEOR methodologies relevant to ITCs

If you are passionate about leveraging statistical expertise to inform healthcare decision-making and drive meaningful impact in improving patient outcomes, I encourage you to apply for this exciting opportunity to join my clients HEOR team and contribute to their mission of advancing evidence-based healthcare solutions.

By clicking “apply” you will be sending your CV to Elysabeth Yates at AL Solutions. Elysabeth is a specialist Market Access, HEOR and RWE recruiter. She will discuss the opportunity in detail with you, facilitate your application and will manage the process acting as a link between the company and yourself. Due to the interesting nature of this position, it is likely that recruitment could close prematurely due to a high number of expected applicants. Please call +44 203 778 0909  for more information or reach out to Elysabeth Yates directly on elysabeth@alsolutions.co.uk with the link to the job advert.

Requirements

• Proficiency in statistical software packages such as R, SAS, or STATA, and experience with specialized tools for conducting network meta-analysis (e.g., WinBUGS, JAGS, or OpenBUGS).
• Strong understanding of statistical principles, study design, and data analysis techniques relevant to comparative effectiveness research and systematic reviews/meta-analyses.
• Excellent communication skills, with the ability to translate complex statistical concepts into clear and actionable insights for diverse audiences.
• Proven track record of successfully managing multiple projects simultaneously, meeting deadlines, and delivering high-quality work in a fast-paced environment.
• Ability to work independently with minimal supervision and collaborate effectively within interdisciplinary teams to achieve project objectives.
• Experience in conducting indirect treatment comparisons within the context of health technology assessment (HTA) submissions, reimbursement evaluations, and health economic modeling.
• Familiarity with regulatory requirements and guidelines governing HEOR studies, such as those issued by NICE, FDA, EMA, and ISPOR.