As the amount of biomedical data types and scale continues to grow, old ways of working with data hold back the pace of progress — fragmented data, overwhelming omics, complex manual work, analysis backlogs, friction in secure collaboration, and barriers to distributing workflows. We have a conviction about how to move closer to a future of precision medicine by making it ten times faster and one-tenth the cost to generate knowledge, develop better treatments, and improve patient outcomes.
As a result, Manifold began its journey. We’re a health research infrastructure company that enables researchers to focus on the high-impact research that matters most, by taking care of all the other stuff that gets in the way. As a trusted research platform for modern scientific collaboration, we partner with top-tier healthcare providers, life sciences organizations, and research institutions to unlock real-world data and deliver actionable insights that improve precision medicine and discovery.
We’re currently a Series B funded startup with 50+ employees across North America. Backed by top-tier investors and healthcare leaders including; Andrew Marks of TQ Ventures, Jason Schoettler of Calibrate Ventures, Gaurav Singal of Foundation Medicine, Steve Fredette of Toast, Amar Kendale of Livongo, Andrew Bialecki of Klaviyo, Brad Porter of Amazon, Jon Karlen of Acadian Software, and Pravin Soni of Elevation Pharma.
At Manifold, we value intellectual rigor, humility, and mission-driven collaboration. We believe that technology is only as powerful as the people behind it, and we’re building a culture that supports growth, inclusion, and curiosity. We work fast, think deeply, and strive to make a lasting impact on patients' lives.
Manifold's Trusted Research Environment (TRE) accelerates scientific discovery through advanced data management. Our implementation services enable seamless integration of genomic, imaging, and clinical data from EMR and LIMS systems into research-ready formats.
We're looking for a dynamic Lead, Implementation Data Engineering to spearhead customer success and build our implementation team. You'll work hands-on with clients while developing and mentoring your team.
You are the right candidate if you have extensive hands-on experience working with biomedical data and thrive on the unique challenges and complexities that come with handling genomic, clinical, and research datasets.
