Precision Analytics

Precision Analytics, headquartered in Montreal, Canada, is a women-owned and founded company that operates as a remote-first organization. The company specializes in helping clients in early-stage biotechnology, clinical research, and pharmaceuticals solve their toughest data science challenges. They provide tailored analytics that turn data into discovery, utilizing advanced analytics such as descriptive statistics and machine learning. Precision Analytics offers powerful visualizations through customized reports and visualizations, promoting scientific best practices and reproducibility. Their skilled team, tailored to unique needs and challenges, combines expertise in statistics, epidemiology, bioinformatics, and software development to develop scientifically rigorous analytics solutions. Serving organizations across the life sciences industry, Precision Analytics provides services such as workshops and 1:1 coaching and training to help professionals upgrade their data science and statistical skills. They offer training on special topics to private groups, including introductory data science topics, machine learning, Bayesian methods, and clinical trial analysis. The company works with a diverse client base ranging from biotechnology start-ups to pharmaceutical manufacturers and clinicians, providing agile health data science services with a highly skilled and diverse team. Precision Analytics focuses on building lasting, meaningful relationships with clients and has conducted case studies in areas such as real-world evidence, clinical trials, epidemiology, machine learning, bioinformatics, drug discovery, and public health. They optimize surgery scheduling in the COVID-19 era using machine learning, develop pipelines for analyzing next-generation sequencing data in bioinformatics, assess the impact of school vaccination policy in New York State in public health, use Bayesian methods to address challenges in clinical trials for rare diseases, estimate population-level immunity to SARS-CoV-2 nationally and globally in epidemiology, apply modern statistical approaches to go beyond clinical trials in real-world evidence, and optimize hit selection in drug discovery for rare genetic diseases.