Merck

This role focuses on creating next-generation mammalian cell lines for therapeutic development by designing synthetic genetic circuits, managing multi-omics datasets, and utilizing NGS. It involves applying machine learning (ML) or deep learning (DL) models to inform experimental design and predict cell line performance, alongside computational modeling of cellular pathways and metabolism. The role requires strong programming skills in Python or R for biological data analysis and experience with Linux/Unix environments.

This role focuses on curating, preprocessing, and integrating large-scale proteomics, genetics, and multi-omics datasets for biomarker and target discovery. It involves exploring and developing statistical and AI/ML approaches for these purposes, and building causal networks. The role is within a Research and Development division at Merck, specifically in the Precision Genetics group.

This postdoctoral research fellow role focuses on developing innovative high-throughput crystallization strategies and methodologies using automation and machine learning to discover new solid forms in pharmaceutical research. The role involves characterizing these forms using various analytical techniques and building analytical methods to process large datasets.

This role supports initiatives that integrate AI tools across scientific operations, automated authoring workflows, and laboratory operations. The candidate will contribute to AI-driven solutions for scientific search, summarization, and information extraction, and assist in the development of automated authoring capabilities. The role also supports the development of tools, metrics, analytics, and models for operational insights and workload prediction.

This internship focuses on data analysis within Merck's Global Data Operations in LATAM. The role involves supporting data strategy through data collection, processing, and predictive analytics, generating insights for business decisions, building data pipelines, applying statistical methods and machine learning for forecasting, and creating visualizations. The intern will receive training and gain hands-on experience with tools like Python and Power BI, learning about the pharmaceutical industry.