Associate Director, Full Stack Clinical Platform Engineer

About Us

Kardigan is a heart health company working to make cardiovascular disease preventable, curable and no longer the leading cause of death in the world.

It is Kardigan’s mission to develop multiple targeted treatments in parallel that bring people with cardiovascular diseases to the cures they deserve.

Led by Tassos Gianakakos, Jay Edelberg, M.D., Ph.D., and Bob McDowell, Ph.D., Kardigan’s co‑founders have reunited after leading Myo Kardia to discover and develop mavacamten, the first cardiac myosin inhibitor, resulting in an acquisition by Bristol Myers Squibb in 2020.

We have a cutting‑edge discovery and translational research platform, a pipeline of late‑stage candidates, and an industry‑leading team that is driven to improve the lives of patients.

At Kardigan, we are motivated by our values which guide how we work, interact, and achieve our goals.
Driven by patients and their families
, we are deeply committed to improving the lives of patients and prioritizing their needs above all else. We believe in being authentic
—leading with truth to bring out the best in others by creating an environment where every person knows they will be fully accepted. With an eagerness to learn
, we encourage the highest levels of curiosity and are open to changing our minds. We are committed to winning as a team with urgency, excellence, and intention, and support each other no matter what role we play or where we sit. Lastly, we strive to enable the impossible because patients are counting on us. We are not afraid to take risks to unlock innovation and advance scientific discoveries.

These values are the foundation of our work, empowering us to make a real difference, every day.

Job Overview

The Full Stack Clinical Platform Engineer will design, implement, and operate production‑grade Generative AI and Machine Learning solutions that power Kardigan’s Global Development Digital Transformation initiative. This role sits at the intersection of data engineering and applied AI—partnering closely with Clinical Operations, Data Management, Regulatory, and IT to design, build, and maintain the modern data platforms and AI‑enabled pipelines that underpin the transformation program.

This is 4
-day on-site position (M-Th)

Candidates must have experience in Biotech/Pharma/Healthcare

The ideal candidate brings deep expertise in Biotech/Pharma or Healthcare clinical data infrastructure and modern data engineering, combined with hands‑on experience deploying machine learning solutions in regulated life sciences environments. This role will act as both a technical authority and strategic liaison between transformation projects and enterprise IT, ensuring that solutions are scalable, compliant, and aligned with evolving regulatory and data standards.

Key Responsibilities

• Translate ambiguous clinical and operational problems into well‑scoped AI solutions, from problem framing and data assessment through prototype, validation, and production deployment.
• Design and implement MLOps/LLMOps pipelines to deploy, monitor, and manage large language models in production environments, following software engineering best practices
• Collaborate with data scientists to deploy and/or fine‑tune high‑performing Generative AI models, and apply modern techniques from relevant published work where appropriate.
• Develop scalable and robust data and ML pipelines for ingestion, preprocessing, validation, training, evaluation, and model deployment across the clinical development ecosystem.
• Evaluate and recommend AI tools and frameworks to meet clinical and operational requirements, including decisions around retrieval‑augmented generation (RAG), vector databases, embedding models, and LLM…