Website:
assessment360.ai
Job details:
Statistician – Pre-Clinical Discovery R&D
Employment Type: Full-Time
Experience: 3–10 Years
Budget: Up to ₹20 LPA
Shift Timings: 1:00 PM – 10:00 PM IST
Education: PhD or MSc in Statistics (MSc candidates must be from IIT/ISI)
We are seeking an experienced Statistician – Pre-Clinical Discovery R&D with strong expertise in core statistics, Design of Experiments (DoE), and R programming to support statistical analysis, experimental design, and data-driven decision-making across pharmaceutical research and development activities.
Key Responsibilities
- Apply advanced statistical methods to pharmaceutical R&D and scientific research projects.
- Design, execute, and analyze experiments using Design of Experiments (DoE).
- Perform statistical analysis, modelling, and data interpretation using R programming.
- Support drug substance, drug product, analytical method development, and regulatory activities.
- Apply statistical model selection techniques and provide actionable insights.
- Collaborate with scientific teams to understand requirements and deliver statistical solutions.
- Support process characterization, method validation, stability analysis, and shelf-life predictions.
Mandatory Requirements
- 3–10 years of relevant hands-on statistical experience.
- PhD or MSc in Statistics (MSc strictly from IIT/ISI).
- Strong proficiency in R programming for statistical analysis and modelling.
- Practical experience in Design of Experiments (DoE).
- Strong knowledge of core statistical methodologies, statistical modelling, and results interpretation.
- Excellent analytical, problem-solving, and stakeholder communication skills.
- Willingness to work the 1 PM – 10 PM IST shift.
Preferred Qualifications
- Experience in pharmaceutical research and development.
- Knowledge of chemistry, biology, or engineering applications.
- Exposure to process characterization, analytical method transfer, validation, and stability studies.
- Familiarity with Spotfire, Tableau, or databases.
Note: Candidates must meet the mandatory educational qualifications and possess practical experience in Statistics, DoE, and R programming.
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