New

Lead, Implementation Engineering

Boston or Remote (US)

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 A 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.

Our Culture

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.

About the Role

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.

What You’ll Do

  • Lead platform implementations to integrate diverse biomedical data sources
  • Transform complex datasets into standardized, research-ready formats
  • Optimize implementation processes while growing a high-performing team
  • Design scalable data engineering solutions using Manifold's platform

What You’ll Bring

  • Expert-level data engineering and ETL capabilities
  • Deep knowledge of healthcare standards (HL7, FHIR, DICOM, OMOP)
  • Advanced data modeling expertise
  • Python and SQL proficiency
  • Proven experience with AWS or GCP
  • Strong background in data security and compliance
  • Demonstrated team leadership abilities
  • Sharp analytical and problem-solving skills
  • Outstanding communication abilities
  • Track record of successful project deliver

Location

  • Remote or Boston, MA

What We Offer

  • Fully supported remote work (North American time zones)
  • Comprehensive healthcare, dental, and vision plans
  • Life insurance and disability coverage
  • 401(k) with company match
  • 12 weeks of paid parental leave
  • Commuter benefits (for those who elect to work from our Newton, MA office)

About the Team

  • We are a team of proven startup operators with a track record of building successful technology companies
  • Deep subject matter experts in oncology, clinical practice, precision medicine, enterprise SaaS, and healthcare technology
  • We're a startup—some things are unstructured, and that’s part of the opportunity
  • We're looking for mission-driven builders to help us create the next best AI powered platform in life sciences

 

 

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