Top Pharmaceutical Machine Learning Engineer Jobs

The role involves deploying machine learning to enhance Chewy's advertising solutions, developing models for product ranking and prediction, and collaborating with product leaders. Responsibilities include leading new models, publishing research, mentoring, and driving technical strategies.

Develop ML force fields for materials science, manage data sets, extend ML field accuracy, and collaborate within an interdisciplinary team.

Develop, validate, and deploy optimization and machine learning solutions to optimize pricing and promotions for CVS Retail. Collaborate跨functional teams to productionize models, build data pipelines, analyze large datasets, and monitor model performance to drive business impact.

The role involves designing, developing, and deploying AI/ML solutions, leading a team, and collaborating across departments to drive innovation and data effectiveness.

Lead development and integration of AI/ML approaches for drug discovery, partnering with chemists and biologists to drive Go/No-Go decisions, create active learning cycles, mentor staff, and evaluate external technologies to improve ADMET and lead optimization outcomes.

The ML Research Engineer will develop training pipelines for atomistic simulation models and collaborate with researchers to optimize training workflows.

The Staff Engineer in AI & ML will lead the design, development, and implementation of analytics and machine learning solutions for manufacturing operations, enhancing data-driven performance management and decision-making.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

Lead development of machine learning models for drug discovery, integrating ML with molecular modeling to enhance molecular design and optimization approaches.

Lead the development of scalable AI solutions for Novartis, integrating advanced machine learning models while collaborating with teams in the US and India.