Software Engineer (Data Platform)

AI startup developing medical artificial intelligence tests to personalize therapy for cancer patients
$120,000 - $180,000
Data
Mid-Level Software Engineer
Remote
11 - 50 Employees
1+ year of experience
AI · Healthcare

Description For Software Engineer (Data Platform)

Artera, an innovative AI startup, is revolutionizing cancer treatment through AI-powered medical tests for therapy personalization. As a Data Platform Software Engineer, you'll be at the heart of managing gigapixel-scale pathology images and massive datasets used in AI model training. The role involves developing tools, Python libraries, and infrastructure used by AI Engineers, Biostatisticians, and Clinical Research Associates.

The position offers a competitive salary range of $120,000 - $180,000, along with equity and comprehensive benefits including 401k matching and unlimited PTO. You'll be working remotely, focusing on building and maintaining data stores, pipelines, and infrastructure that powers their AI solutions.

The ideal candidate should have 1-3 years of experience in data infrastructure, with expertise in AWS services, PostgreSQL/MySQL, and Kubernetes. You'll be working with sensitive medical data, requiring strong integrity and data governance understanding. The role demands both technical excellence and collaborative skills, as you'll be working closely with scientists and developers.

What makes this role unique is its direct impact on healthcare outcomes. You'll be part of a team that's using cutting-edge technology to help personalize cancer treatment decisions globally. The company has received recognition in various media outlets, including the Wall Street Journal, highlighting their innovative approach to predicting responses to cancer drugs.

This is an excellent opportunity for a mid-level engineer who wants to make a meaningful impact in healthcare while working with advanced technology and data systems. The role offers significant growth potential and the chance to work on challenging technical problems while contributing to life-saving medical innovations.

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Responsibilities For Software Engineer (Data Platform)

  • Design, build, and maintain data stores (S3, EFS, Box), databases, and software libraries
  • Set Data Infrastructure Engineering vision and drive software development projects
  • Develop and take ownership of data pipelines
  • Build out core infrastructure, tooling and software development process in Python
  • Contribute to platform engineering projects

Requirements For Software Engineer (Data Platform)

Python
PostgreSQL
MySQL
Kubernetes
  • Demonstrated integrity when working with sensitive confidential data
  • Experience managing AWS relational databases: PostgreSQL, MySQL
  • Experience with managing S3 buckets, lifecycle, policies and IAM Permissions at scale
  • Track record of migrating and building infrastructure automation solutions using Terraform
  • Experience with CI/CD, Containers and Kubernetes
  • 1 - 3 years of experience working in data infrastructure areas

Benefits For Software Engineer (Data Platform)

401k
  • 401k matching
  • Unlimited paid time off (PTO)
  • Equity

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