Machine Learning Technical Lead

Job Location
351 W 10th St
Indianapolis, IN 46202

Vision, 401K, Dental, Medical

Job Description

LifeOmic is seeking a talented machine learning engineer who will be responsible for defining, developing, and deploying services for our health cloud platform.

We are looking for someone with a history of innovation that loves to explore new technology. Because we are a small development team, you will be expected to work independently during these early stages but you will have a team of high performers to lean on when necessary. You'll have the opportunity to shape the technology choices for the LifeOmic platform that is just getting off the ground.


An empowered builder who can implement machine learning based solutions across a cloud tech stack and fit into a team who has embraced continuous delivery.

Demonstrable experience with training and deploying machine learning models on a cloud infrastructure provider (preferably AWS, GCP, Azure).

Able to communicate complex concepts clearly and accurately.

Able to iterate with new technologies and approaches as their respective open source communities push them forward.

Experience maintaining a complex system after it's deployed to production.

How to Apply
About Our Organization

The LifeOmic Precision Medicine Platform (LifeOmic PMP) is a secure cloud service for the long-term storage, retrieval, analysis, and clinical use of genomic and other digital information increasingly central to patient care.

Healthcare providers are swimming in data. Unfortunately this valuable information is spread across a variety of devices and systems that prevent its useful application. And with the advent of genomics and personalized medicine, much more is on the way. EHRs might seem the logical solution but they were designed for reimbursement and are woefully ill-equipped for the coming digital deluge.

The answer is a secure, infinitely scalable cloud platform that can serve as a central repository for all this data -- and do so for the entire lifetime of every patient.

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