Top Biotech Machine Learning Engineer Jobs

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

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

Design and conduct advanced data analyses and develop machine learning models for mental health research, working with large datasets and multimodal methods.

Join the Discovery ML group at Iambic Therapeutics to apply advanced ML techniques in drug discovery, collaborate with scientists, and communicate results effectively.

Responsible for bioinformatics ML/AI application development in clinical settings, designing and deploying ML/AI solutions, and collaborating with multidisciplinary teams.

The Associate AI/ML Engineer will design, build, and deploy AI solutions using LLMs and traditional ML models, collaborating with various teams to support business goals.

The intern will assist in AI/ML projects, including data preparation, model development, prototyping, and collaboration with teams to support innovations in healthcare.

Contribute to developing machine learning models for multi-scale biology, focusing on design, deployment and optimization across teams and technologies.

The Principal Machine Learning Engineer leads the design and development of advanced ML models, overseeing their lifecycle and collaborating with teams to optimize performance and ensure regulatory compliance.

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.