Epidemiology Analyst
India, Remote Additional Locations India-Bengaluru-Remote; India-Chandigarh-Remote; India-Mohali-Remote; India-Mumbai-Remote Job ID R0000032691 Category Statistical Programming Date Posted 04/04/2025Overview
As a member of Parexel’s Statistical Programming group, you analyze, summarize, and graphically present clinical data to assess the safety and efficacy of the clinical trial. It requires attention to detail, a commitment to quality, and effective communication to ensure new treatments reach patients faster. You will work in different therapeutic areas assessing a variety of data entries and endpoints in an ever-changing environment. We provide a fertile environment for growth, with extensive training, mentoring, and technical knowledge sharing.
You will work closely with the client and Parexel teams and collaborate to maximize the collective strength. Experience a supportive and motivating work environment where our teams offer an inherent breadth of knowledge within a diverse and inclusive workplace.
Success Profile
Do you have these soft skills and interpersonal traits to succeed at Parexel?
- Analytical
- Detail-oriented
- Independent
- Proactive
- Responsible
- Team-player
About This Role
Job Summary:
The primary function of an Epidemiology Analyst is to lead the statistical analysis, programming (for example SAS), and database management for epidemiologic projects for any business unit (GenMed, Spec Care, Vaccine). The analysts also lead the implementation of new advanced methods, technology and innovations in epidemiology and safety-sciences to improve health outcomes, focusing on demonstrating the safety of our products. Additionally, analyst also contribute to the execution and implementation of innovative projects using advanced AI technology.
Knowledge/Skills:
• Extensive knowledge in statistical programming (especially using SAS), database management and statistical analysis.
• Good knowledge of data science to work comfortably using latest digital technology (e.g. LLM, ML, DL, ANN, NLP etc)
• Understanding and experience using US-based real-world data (claims as well as medical record databases)
• Excellent communication and analytical skills as well as a high level of self-motivation, initiative and attention to detail are required.
• Ability to work independently and as a team player, and to work on multiple projects under pressure and with tight timelines.
• Fluent in English.
Education/Experience
• Master’s degree in statistics, biostatistics, epidemiology, mathematics, computer science, or other quantitative fields. A doctoral degree is preferred.
• Extensive experience (minimum 5 years) with SAS programming in public health related areas (e.g., Epidemiology, Biostatistics, or Outcome Research). Experience with other programming languages e.g. python, SQL, R is desirable.
• Experience with various operating systems, including UNIX and Windows operating systems, and structured programming principles and documentation procedures.
Principal Duties/Responsibilities
Lead statistical analysis and programming:
o Lead statistical analysis and programming (for example using SAS, R, SQL, python etc), database management and statistical analysis for epidemiologic projects supporting specific business unit (GenMed, Vaccine, Spec Care).
o Provide documentation of the programs, databases, and systems.
Lead database evaluation and management, and collaborate with the RWD and Information System staff:
o Address database issues related to the data storage, management and analysis.
o Provide support in the evaluation, acquisition, storage and management of databases.
o Manage databases to ensure timely completion of pharmacoepidemiologic projects.
In collaboration with Pharmacoepidemiology and Benefit-Risk experts, lead the implementation of new advanced methods, technology and innovations in epidemiology, benefit-risk and safety-sciences to improve health outcomes.
Keep abreast of new developments in programming and analytic methods and tool
#LI-REMOTE
Potential Career Path
Parexel offers career paths for Statistical Programmers to progress in their technical position or managerial position, as well as options to move to other areas of the business.
- Statistical Programmer I
- Statistical Programmer II
- Senior Statistical Programmer
- Subject Matter ExpertPeople Management
Employee Insights
Why Statistical Programmers work at Parexel
