Parexel is hiring for the position of Health Economics Associate – Advanced Analytics across multiple locations in India. This full-time remote opportunity is suitable for professionals with strong expertise in statistics, biostatistics, health economics, statistical programming and healthcare analytics.
Candidates with a Master’s degree or higher in Public Health, Health Economics, Health Policy, Statistics, Biostatistics, Mathematics or another quantitative discipline may be considered. Parexel is seeking professionals with approximately 2–4 years of relevant experience, preferably with exposure to healthcare consulting or pharmaceutical organizations.
The Parexel Health Economics Associate role combines statistical methodology, programming and healthcare research. Selected candidates will support study teams with statistical analysis plans, sample-size calculations, analysis datasets, tables, listings and figures, quality control and statistical contributions to clinical study reports.
Key Responsibilities
As a Health Economics Associate – Advanced Analytics at Parexel, responsibilities include:
- Work as a support biostatistician or statistical programmer and collaborate with study teams and sponsors.
- Support preparation of statistical sections of study protocols.
- Perform sample-size and statistical power calculations.
- Review data management plans, data specifications and related study documentation.
- Assist with development of Statistical Analysis Plans (SAPs).
- Contribute to specifications for analysis datasets.
- Develop statistical programs for Tables, Listings and Figures (TLFs) according to the statistical analysis plan.
- Conduct quality control of TLFs and analysis datasets.
- Provide statistical input for Clinical Study Reports (CSRs).
- Help maintain quality standards across assigned projects.
- Evaluate and support implementation of appropriate statistical methodologies and techniques.
- Contribute to methodological and thought-leadership initiatives.
Qualification & Eligibility
Candidates should have a Master’s degree or higher in Public Health, Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or another relevant quantitative field.
The position requires approximately 2–4 years of experience, with familiarity in healthcare consulting or pharmaceutical organizations.
Applicants should have a strong foundation in statistical concepts and methodologies, including exposure to areas such as:
- Survival analysis, including parametric methods
- Longitudinal data analysis
- Meta-analysis
- Mixed treatment comparison
- Hierarchical analysis techniques
- Development of predictive equations
Knowledge of machine learning techniques and Bayesian statistics is considered an additional advantage.
Technical Skills Required
Parexel is looking for candidates with statistical programming capabilities using one or more of the following:
SAS | R | SQL | Python
Candidates should also possess strong scientific and business writing abilities, presentation skills, attention to detail, problem-solving capabilities and excellent written and spoken English.
The ability to explain technical statistical concepts to non-technical project stakeholders is particularly important for this position.
Who Should Apply?
This opportunity may be particularly relevant to professionals currently working as Health Economics Associates, Biostatisticians, Statistical Programmers, Healthcare Analysts, HEOR Analysts, Advanced Analytics Associates or quantitative healthcare researchers.
Candidates interested in combining health economics, biostatistics, pharmaceutical analytics and statistical programming may find this role particularly relevant.
Why Consider This Opportunity?
Parexel operates across clinical research, regulatory affairs, consulting and market access. The Health Economics Associate – Advanced Analytics position provides exposure to multidisciplinary healthcare projects involving statistical methodology, programming and clinical research.
Potential professional exposure includes:
- Health economics and healthcare analytics
- Biostatistics and statistical programming
- Clinical study methodology
- Statistical Analysis Plans
- Analysis datasets and TLF programming
- Clinical Study Reports
- Advanced statistical techniques
- Cross-functional and sponsor collaboration
Salary Estimate
The official job description does not specify a salary range.
Based on the role level, required experience and specialist quantitative skill set, an indicative market estimate could be approximately ₹7,00,000–₹14,00,000 per year in India.
Note: This is an estimated range for informational purposes only and is not an official salary disclosed by Parexel. Actual compensation may vary depending on experience, skills, location, internal compensation structure and other factors.
How to Apply
