Top Data Science Jobs

The Senior Data Scientist will develop AI solutions and machine learning models, focusing on MLOps, automation, and NLP technologies. Responsibilities include data analysis, collaboration with stakeholders, and maintaining technical documentation.

Join insitro as a Data Scientist IV/V in Computational Chemistry to support drug discovery projects, deploy ML and physics-based modeling tools, collaborate with cross-functional teams, and shape the platform and team culture with innovative ideas.

The Scientist I in Downstream Process Development executes laboratory studies for process development, supports technology transfer, and ensures compliance with cGMP regulations. Responsibilities include optimizing operations, leading development efforts, documenting protocols, and maintaining safety standards. Strong communication skills are essential to produce quality documentation and present findings to clients.

Lead AI/ML Scientist role at Datasite, leading AI/ML projects from conception to implementation, optimizing AI models, and collaborating with cross-functional teams to enhance product offerings and customer satisfaction.

The Associate Scientist II in Neuroscience conducts scientific experiments for research and drug discovery, particularly identifying New Chemical Entities (NCEs). Responsibilities include executing experiments, maintaining laboratory notebooks, troubleshooting experiments, presenting findings, and optimizing assays. Adherence to regulatory requirements and safety protocols is also essential.

As a Staff Data Scientist at Ceribell, you will develop advanced classification algorithms for EEG neurodiagnostics, leveraging machine learning, time-series analysis, and statistical signal processing. Collaboration with business and clinical teams is essential to meet project needs and drive outcomes through data analytics.

The ML Postdoc Researcher will design and refine large language models, develop algorithms for generative tasks, and implement models on large datasets. Responsibilities also include collaborating with teams, staying informed on advancements in machine learning, and contributing to health data applications.