4.0 - 8.0 years

0 Lacs

haryana

On-site

You are a boutique data analytics consultancy specialized in Health Economics and Outcomes Research (HEOR), pricing, and market access. Your clientele includes pharmaceutical and medical device companies, as well as midsize and large consultancies worldwide. Your dedicated team of expert health economists and systematic reviewers ensures the delivery of high-quality work within specified timelines. In this role, your key responsibilities will involve conducting statistical analysis necessary for submissions to HTA agencies like NICE and PBAC. You will be responsible for developing proposals, project reports, and various deliverables for clients. Your tasks will also include designing, analyzing, and interpreting data utilizing a diverse range of statistical approaches and relevant software. Furthermore, you will review study plans, reports, and presentations, ensuring adherence to Skyward's best practices. You will be expected to identify and develop methodologies, strategies, and findings in reports and presentations. Developing and executing statistical analysis plans (SAP) for clinical trial data using R or SAS is a crucial aspect of your role. Your duties will also involve digitizing and performing parametric survival analysis using Kaplan-Meier data from publications and clinical trials. You will conduct indirect treatment comparisons and Network Meta-Analyses (NMA) as required. Additionally, you will provide support to the health economic modeling team and offer writing assistance for publications based on statistical analyses. Effective communication is key in this role, as you will be required to articulate detailed technical reports of the analysis performed both verbally and in writing. Maintaining clear and timely communication with clients and internal project teams is essential for project execution efficiency. To be successful in this position, you should possess a minimum of 4 years of experience in Health Economics and Outcomes Research (HEOR) and hold an MS or PhD in Statistics or a relevant field. Proficiency in health technology assessment (HTA) submissions, advanced programming skills in R, and a solid understanding of key statistical concepts and techniques are prerequisites for this role.,

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