Overview

We are seeking a highly motivated and detail-oriented Statistician (0–3 years experience) to join our MSAT Data Science MSAT team. This role is ideal for candidates with strong foundations in statistics, data analysis, and machine learning.

The successful candidate will play a critical role in enabling data-driven decision-making, ensuring product quality, process robustness, and regulatory compliance through advanced statistical methodologies.

Key Responsibilities

Exploratory Data Analysis & Statistical Analysis
Perform EDA to identify trends, patterns, and root causes in manufacturing deviations and investigations.
Perform statistical analysis on diverse datasets, including time-series data, point data and repeated measures data.
Predictive & Stability Analysis
Develop predictive models for process performance monitoring, anomaly detection, yield improvement, and risk mitigation.
Conduct stability studies using linear and nonlinear regression models in compliance with regulatory guidelines (ICH).
Subject Matter Expertise
Act as a subject matter expert (SME) in statistics, statistical learning, and data science methodologies.
Provide guidance to cross-functional teams on appropriate statistical approaches and best practices.
Advanced Statistical Techniques
Apply advanced methods including:
Regression models
Mixed-effects models
Equivalence/non-inferiority testing
Bayesian methods (desirable)
Customize analyses based on project needs.

Required Qualifications & Skills

Education
Master's degree in Statistics, Biostatistics, Data Science, Mathematics, or a related field.
Experience
0–3 years of relevant experience in statistical analysis, preferably in manufacturing, pharma, biotech, or CMC environments.
Technical Skills
Proficiency in at least one statistical/programming tool:
R / Python (preferred)
JMP, SIMCA, or equivalent tools
Working knowledge of:
Machine learning algorithms
Multivariate data analysis (MVDA)
Statistical modeling techniques
Analytical Thinking
Strong problem-solving skills with a data-driven and critical thinking approach.
Ability to handle complex datasets and extract meaningful insights.
Communication & Collaboration
Excellent verbal and written communication skills.
Ability to effectively present complex statistical concepts to diverse audiences.
Experience working in cross-functional and collaborative environments.
Attention to Detail
High level of accuracy and attention to detail, especially in regulated environments.

Statistician

Data Scientist / Statistician (Python) - TATA Himachal THR Project