About the job
At PicnicHealth, we are revolutionizing clinical research through advanced artificial intelligence, bringing a faster and more cost-effective approach to delivering new treatments to patients. By adopting a patient-centric and AI-driven strategy in a $100 billion industry, we are breaking the mold of traditional, service-oriented players. Our innovative operating system for clinical research is built on our AI capabilities for medical record data in clinical trials, complemented by a personal health app that keeps patients actively engaged in their healthcare journey.
The Opportunity
We believe that AI is set to transform clinical research fundamentally. At PicnicHealth, we are already demonstrating this potential. Our AI system processes medical records, interacts with patients, and enhances study operations in ways that were previously unimaginable. However, we are just scratching the surface, and the gap between AI capabilities and everyday use by our teams presents the most significant opportunities for improvement.
Our AI team is developing robust functionalities, while our Study Delivery team, composed of scientists, biostatisticians, project managers, and patient recruitment specialists, tackles complex and high-stakes assignments. As a Forward Deployed AI Engineer, you will bridge the gap between these two teams. Your role will involve working closely with the AI team to leverage their knowledge for quicker and more effective solutions. You will embed yourself within the Study Delivery team, gaining insights into their workflows, identifying pain points, and implementing immediate solutions using a range of tools, from internal AI applications to off-the-shelf software and custom scripts.
This position is not solely about quick fixes; you will also play a crucial role in shaping the product roadmap, ensuring we are developing the right tools and infrastructure for the Study Delivery team over the long term. Acting as a feedback loop, you will translate operational realities into engineering priorities.
What You’ll Do
- Embed with Study Delivery to gain an in-depth understanding of the study lifecycle - from creation to execution - becoming the technical expert in both the platform and operational workflows.
- Identify and implement AI-driven automation for repetitive tasks, utilizing our proprietary AI tools as well as external Large Language Models (LLMs).
- Develop product features within our operator portal, addressing real challenges you’ve identified while working alongside the team.
- Create tools and scripts that alleviate immediate operational challenges, whether through a Retool dashboard or a simple AI agent.
- Empower non-engineering teams to integrate AI tools into their workflows, offering support from setting up AI-assisted environments to training staff on best practices.

