As a Senior Product Engineer at PicnicHealth, you will lead projects, operate across the tech stack, design data models, and enhance application performance. You will also mentor team members and collaborate to tackle complex problems, aiming for user and business impact.

The Life Sciences Principal will drive new business in the life sciences sector, managing complex sales cycles, crafting proposals, and serving as an RWD and observational study expert. This role includes mentoring a business development team and fostering relationships with clients to support their research needs while contributing to the sales strategy.

As a Product Engineer at PicnicHealth, you will drive impact by solving complex problems, owning features from planning to deployment, and working across the entire tech stack. You will mentor other engineers and communicate effectively with stakeholders while using technologies like machine learning to enhance user interfaces.

As a Senior Epidemiologist at PicnicHealth, you'll design, conduct, and publish observational research studies, serve as the scientific point of contact for research partners, and collaborate with cross-functional teams to improve health outcomes. Your expertise will be essential in utilizing primary and secondary data, ensuring studies meet their objectives, and contributing to quality data generation and thought leadership.

As an Epidemiology Solutions Principal, you will design and oversee studies to provide clinical insights for research partners, leveraging a strong epidemiology background to address key questions and maximize value for customers. You will collaborate with Sales and ensure seamless hand-offs to the delivery organization, participate in thought leadership, and use your expertise in observational datasets and statistical models.

As an ML Research Scientist at PicnicHealth, you will enhance the performance of language models for medical records, develop evaluation methods for these models, integrate cutting-edge AI/ML research into core capabilities, and contribute to the growth of the ML team through hiring efforts and knowledge sharing.