Senior/Principal Data Scientist - TS/MS

Key Responsibilities:Apply analytical and statistical methodology, including the concepts of Statistical Process Control (SPC), to process and experimental data to identify trends, assess process capability, and provide appropriate conclusions to enable data-driven decision-making and to determine the root cause of process upsets.Support the real-time multivariate SPC program using SIMCA-online.Collaborate with laboratory and process scientists on the development of Raman spectroscopy-based chemometric models.Use appropriate statistical methodologies to assign specifications, validation acceptance criteria, tech transfer criteria, material sampling criteria, comparability assessments, and analysis of batch data for summary reports and product reviews.Use statistical and programming software (e.g., SAS, R, JMP, Python, SIMCA) to apply a broad range of data science and statistical applications, such as linear regression, DoE, multivariate analysis, and statistical modeling.Assist with Design of Experiments (DoE) including data analysis to support lab studies and assist with the development of product control strategies.Interpret and communicate the results of data analytics and statistical analysis clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.Provide training and mentoring to technical staff to strengthen capabilities in statistical methods and data-based decision-making.Collaborate within cross-functional teams to integrate data analytics and statistical methodologies into everyday work, develop solutions, gain alignment, and deliver impactful business insights while engaging the necessary stakeholders to enable data-driven decision-making.Ensure data integrity by performing rigorous error checking and data validation.Pre-Requisites:A demonstrated interest in the field of statistics and data science.Skilled in quantitative analysis and data management.Strong problem-solving skills.Demonstrated learning agility.Strong ability to influence.Ability to communicate effectively with all levels and functions in the organization.Ability to work on multiple concurrent project initiatives.Ability to work in a team environment.Ability to build strong relationships across the organization.Highly motivated.Educational/Experience Requirements:Third-level qualification (e.g., BSc or MSc) in Statistics, Data Science, Applied Mathematics, or a relevant discipline.Prior experience in a pharmaceutical manufacturing environment is preferable.Prior knowledge and experience with programming, data analysis, and process modeling in tools such as Python, R, Matlab, Unscrambler, SAS, SIMCA, Grams, JMP, etc. is preferable.Additional Skills/Preferences:Familiarity in areas like biochemistry, cellular biology, organic chemistry, physical chemistry, and cellular proliferation methods and techniques is desired.Knowledge of pharmaceutical process steps such as biologics manufacturing, small molecule organic synthesis, and oral solid dosage form manufacturing is advantageous.

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