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As an ML Research Scientist, you will enhance and develop performance metrics for large language models specific to medical records, integrating cutting-edge AI/ML research into existing workflows. You will also be involved in sharing innovations through publications while helping to build and recruit for the ML team.

The Senior Studies Success Project Manager at PicnicHealth will lead complex projects by coordinating cross-functional teams, ensuring successful delivery of life sciences projects. Responsibilities include developing project plans, managing budgets, overseeing study execution, and maintaining stakeholder communication to drive project success and high-quality data collection.

As a Product Engineer in the Data Production Team, you will own features end-to-end from designing data models to building user interfaces. You'll tackle challenges including data visualization, data pipelines for large language models, and improving application performance. You will work closely with partners to translate strategic initiatives into actionable roadmaps and ship code to production frequently.

As a Product Engineer on the Data Production team at PicnicHealth, you will be responsible for designing and building features across the entire stack. You will work on data models, front-end interfaces, and solve complex challenges in visualizing medical information and implementing data pipelines.

The Machine Learning Research Scientist will enhance LLM performance for medical records, develop evaluation methods, incorporate AI/ML advances, share insights through various mediums, and assist in expanding the ML team.

The Senior Studies Success Project Manager at PicnicHealth will oversee complex research projects, collaborating with cross-functional teams to ensure successful execution. Responsibilities include developing project plans, managing stakeholder communication, monitoring project progress, and ensuring timely delivery and adherence to budgets.

Responsible for enhancing the performance of large language models focused on medical records, the ML Research Scientist will develop methods for evaluating AI capabilities, incorporate the latest in AI/ML research, and contribute to academic and outreach efforts. They will also play a key role in growing the ML team through recruitment efforts.