Health Economics Associate – Advanced Analytics

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

✨ Associate

👻 Ghost score 10%

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Logo of Parexel

Parexel

10,000+ employees

Founded 1983

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Venture Round on 1990-01

Consulting • Healthcare • Logistics

Parexel is one of the world's largest clinical research organizations (CROs), providing comprehensive services for the clinical development process from Phase I to IV. The company specializes in portfolio management, clinical trial management, regulatory strategy, market access, and lifecycle management for biopharmaceuticals. Parexel aims to speed life-changing medicines to market by leveraging its clinical, regulatory, and therapeutic expertise. With a global team of over 21,000 professionals, Parexel works to integrate patient insights and innovative trial designs to develop treatments across therapeutic areas such as oncology, neuroscience, rare diseases, and more. It focuses on delivering patient-centric and efficient clinical trials.

📋 Description

• Act as support biostatistician or statistical programmer interacting with the study team and sponsor • Support drafting statistical sections of protocols • Perform sample size and power calculations for studies • Support review of data management plans, data specifications, and related study documents • Support development of statistical analysis plans • Contribute to specifications for analysis datasets • Support development of statistical programs generating listings, tables, and figures outlined by statistical analysis plans • Perform QC of TLFs and other analysis datasets • Provide statistical input to Clinical Study Reports • Help ensure quality standards are followed across projects • Assess and implement new methodologies and techniques • Help foster thought leadership opportunities

🎯 Requirements

• 2-4 yrs of experience with familiarity in healthcare consulting or pharmaceutical organizations • Strong basis in fundamental statistical concepts and methods • Familiarity with predictive equations, survival analysis, longitudinal data analysis, meta-analysis, mixed treatment comparison, and hierarchical analysis techniques • Familiarity with machine learning techniques and Bayesian statistics is a plus • Strong statistical programming skills with standard software • SAS, R, SQL, and/or Python • Excellent scientific, business writing, and presentation skills with attention to detail • Exceptional communication skills, especially relaying technical information and project concepts • Competent in written and spoken English • Strong communication and problem-solving skills, and ability to learn quickly • Ability to communicate effectively in non-technical terms with project team members • Ability to work well in a team and independently, and take a leadership role regarding methodological elements • Master or higher degrees in Public Health, Health Economics, Health Policy, Statistics, Biostatics, Mathematics, or other quantitative fields

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