Health Economics Associate - Advanced Analytics

Parexel International (india) Private Limited; Hyderabad; Hybrid; INR 700,000 - 1,100,000; Full time

Job summary

Parexel International (india) Private Limited is seeking a Health Economics Associate- Advanced Analytics in Hyderabad. You will support biostatistical programming, draft statistical sections, and develop analysis plans for clinical studies.

Candidates should have 2–4 years in healthcare consulting or pharma, strong statistical methods knowledge, and programming skills in SAS, R, SQL, and Python. MS or higher in Health Economics or related fields is preferred.

Qualifications

• 2–4 years of experience in healthcare consulting or pharmaceutical organizations.
• Strong foundation in fundamental statistical concepts and methods.
• Familiarity with survival analysis, longitudinal data analysis, meta-analysis, and Bayesian statistics is a plus.
• Proficient in statistical programming with SAS, R, SQL, and Python.

Responsibilities

• Acting as support biostatistician or statistical programmer to interact with the study team and the sponsor.
• Support in drafting statistical sections of protocols, performing sample size and power calculation for studies.
• Supporting in reviewing data management plans, data specifications, and other related study documents.
• Supporting in developing statistical analysis plans
• Contributing to the preparation of specifications for analysis datasets
• Supporting in developing statistical programs to generate listings, tables and figures as outlined by a statistical analysis plan
• Performing QC of TLFs and other analysis datasets
• Providing statistical input to Clinical Study Reports
• To help ensure quality standards are adhered to on all projects and new methodologies and techniques are adequately assessed and implemented.
• To help foster thought leadership opportunities.

Skills

Project management

Scientific writing

Presentation skills

Communication skills

English proficiency

Education

Master's degree in Health Economics

Tools

SAS

R

SQL

Python

Job description

Health Economics Associate- Advanced Analytics

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Key Accountabilities:

Project Execution

• Acting as support biostatistician or statistical programmer to interact with the study team and the sponsor
• Support in drafting statistical sections of protocols, performing sample size and power calculation for studies.
• Supporting in reviewing data management plans, data specifications, and other related study documents
• Supporting in developing statistical analysis plans
• Contributing to the preparation of specifications for analysis datasets
• Supporting in developing statistical programs to generate listings, tables and figures as outlined by a statistical analysis plan
• Performing QC of TLFs and other analysis datasets
• Providing statistical input to Clinical Study Reports
• To help ensure quality standards are adhered to on all projects and new methodologies and techniques are adequately assessed and implemented.
• To help foster thought leadership opportunities.

Skills:

• Ability to manage priorities to meet multiple and sometimes competing deadlines.
• Excellent scientific, business writing, and presentation skills with attention to detail.
• Exceptional communication skills, especially in the relaying of technical information and project concepts.
• Competent in written and spoken English SAS, R, SQL, and/or Python

Knowledge and Experience :

• 2-4 yrs of experience with familiarity in healthcare consulting or pharmaceutical organizations.
• Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques, etc.
• Familiarity with machine learning techniques and Bayesian statistics is a plus.
• Strong statistical programming skills with standard software.
• Strong communication (spoken and written) and problem-solving skills, and an ability to learn-quickly.
• Ability to communicate effectively, in non-technical terms, with project team members.
• Ability to work well in a team as well as independently and be able to take leadership role with regard to methodological elements in projects.

Education:

Master or higher degrees in Public Health, Health Economics, Health Policy, Statistics, Biostatics, Mathematics, or other quantitative fields.

Experience Level Mid Level