Associate Director, Full Stack Clinical Platform Engineer
Builds and operates AI/ML pipelines and data platforms for clinical development, integrating structured and unstructured data while ensuring regulatory compliance in a healthcare setting.
- Compensation
- $206K–$268K / yr
- Location
- Princeton, New Jersey
- Work setup
- Onsite
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Must have
- Advanced degree in computer science, biomedical informatics, statistics, or related field
- 5–7 years of experience designing and leading data engineering solutions in life sciences or healthcare
- Expertise in clinical/biomedical data infrastructure (data lake/warehouse architectures)
- Proficiency in Python, SQL, R, and modern cloud data platforms (Snowflake, Databricks, Redshift, BigQuery)
- Experience with cloud architecture (AWS/Azure/GCP), DevOps, CI/CD, containerization (Docker/Kubernetes)
- Deep knowledge of regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11) and clinical data standards (CDISC, HL7, FHIR)
- Hands-on experience building ML pipelines and working with clinical AI/ML applications (NLP, anomaly detection, predictive modeling)
- Experience with data governance frameworks, data quality tooling, and metadata management in regulated settings
Nice to have
- PhD with 6+ years of relevant experience or MS with 10+ years of relevant experience
- Relevant certifications in cloud platforms or DevOps
Full description
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 MyoKardia 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.