Optimizing the future of clinical trials
We are a highly diverse team of data scientists and machine learning engineers helping the world's leading pharmaceutical companies manage their studies more predictably. Our teams combine advanced AI, statistical and machine learning techniques with a modern, scalable data infrastructure to understand the complex system dynamics of clinical trials. We ensure our discoveries are leveraged in an ethical, unbiased, and ultimately empowering fashion.
Meet our tech stack
Data Science
Our data science team thrives on empathy and "high-touch" interactions. Our data scientists work directly with stakeholders to understand what's uniquely important to them in practice, not just in theory. We then figure out how to weave that value into their existing business processes so it can be truly effective. This close collaboration guides our entire execution process, from exploring data and developing models to delivering enterprise-scale data products.
AI/ML Engineering
Our AI/ML Engineering team builds and deploys advanced AI products that shape the recruitment and execution of high-profile studies for our top pharmaceutical sponsors. Working closely with data scientists and other stakeholders, we develop, train, tune, and monitor custom AI/ML and statistical models. Our team is responsible for key ModelOps infrastructure—including MLOps and LLMOps—that enables stable, enterprise-scale delivery. This includes developing and maintaining advanced architectures like MoE (Mixture-of-Experts) and automated training/retraining systems. We also collaborate with other departments to integrate our models and systems with various data sources, applications, and agents, ensuring our work is deeply embedded across the business.
Data-Driven Compassion
Our team is human-centric; we recognize that decisions we influence around the management of clinical trials directly impact lives of people around the world. This is a tremendous responsibility that we take very seriously. Beyond global regulatory compliance, our commitment to ethical and unbiased decision-making governs everything from where and how we acquire data, to how we train our models, to how we deliver results and recommendations and will never be compromised to accelerate a perceived business need.
Our compassionate heart is paired with a focused mind which ensures our work is in clear alignment with our business goals. Every decision from what data we use, to how we design our architectures, to which modeling techniques we implement is influenced by this. All team members, regardless of focus, are responsible for understanding our strategy–what value means to the communities we serve–and optimizing their efforts to support it.