Biotech, Pharmaceutical & Medical Device Courses
These courses are used by a variety of fortune 500 companies to train their analysts, scientists and engineers. TLC has extensive experience in the biotechnology, pharmaceutical and medical device industries and has trained over 60,000 scientists, engineers and business professionals globally.
In addition to training, TLC works actively with the drug development team to assure product development and submission study design, data analysis, risk assessments, design of experiments, assay development and validations all meet the high standards of regulatory review and use best in class approaches to product development and report generation.
Thomas A. Little has consultants located in the United States and globally and offers training in English and Mandarin.
In addition to training, TLC works actively with the drug development team to assure product development and submission study design, data analysis, risk assessments, design of experiments, assay development and validations all meet the high standards of regulatory review and use best in class approaches to product development and report generation.
Thomas A. Little has consultants located in the United States and globally and offers training in English and Mandarin.
Download Curriculum
Download the full course curriculum for Biotech, Pharmaceutical and Medical Device Industries in PDF format.
Statistical & Analytical Courses
These applied analytical and problem solving courses are used for product development, cost reduction, root cause analysis, process modeling, process control and performance optimization.
Lean Six Sigma
Complete curriculum for new product development, manufacturing and business process performance optimization.
Tools & Templates
Development tools and templates created by Thomas A. Little Consulting have been used by numerous companies to aid and support various aspects of product development, problem solving, data analysis and risk assessment.
- Introduction QbD, VOC and Critical Quality Attributes
- Statistical Methods and Data Analysis
- Design of Experiments
- Mixture Design of Experiments
- Robust Optimization, Design Space and Tolerance Design
- Assay Development and Method Validation
- Statistical Methods for Process Validation
- Measurement Systems Analysis
- Reliability Analysis
- Stability Analysis
- Process Control Design using SPC/PAT
- Non-Linear Modeling (Dose Response / Potency)
- Quality Risk Management and FMEA
- Root Cause Analysis and CAPA
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