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Data Science Platform Engineer @Paradigm Health

[Hiring] Data Science Platform Engineer @Paradigm Health

Apr 03, 2025 - Paradigm Health is hiring a remote Data Science Platform Engineer. 💸 Salary: unspecified. 📍Location: USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We are seeking a Data Science Platform Engineer to join our Data Science Platform Enablement (DSPE) team. In this role, you will design, build, and maintain the infrastructure and tools that enable scalable data science and machine learning solutions across our organization. You’ll work closely with cross-functional teams, including machine learning engineers, data scientists, and clinical informaticists, to support the end-to-end data science lifecycle—from data acquisition to model deployment—driving efficiency and impact in clinical trials.

  • Support the development of new product features and ML solutions, collecting technical requirements, evaluating emerging technologies, and when necessary, implementing minimal internal frameworks and libraries for codifying our task domain in composable units.
  • Develop and maintain CI/CD pipelines, ensuring reliable integration and deployment of machine learning models, shared libraries, and data processing tasks.
  • Implement and manage cloud-based solutions on AWS that support scalable data storage, compute resources, and orchestration of data science tasks.
  • Ensure compliance with data security, governance, and regulatory standards in collaboration with Data Engineering, Information Security and Developer Operations teams.
  • Monitor and troubleshoot platform-related issues, optimizing for data quality, throughput, service availability, resource allocation, and cost.
  • Support and train data scientists and machine learning engineers on platform tools and best practices, fostering collaboration and continuous learning.

Qualifications

  • 3+ years of experience working as an engineer, data scientist, or in a similar role, contributing to production-level infrastructure and tools.
  • Hands-on experience in designing, building, and maintaining data pipelines, understanding how to achieve scalability, reliability, and maintainability.
  • Excellent communication skills, with the ability to distill complex technical concepts to essential elements for both technical and non-technical audiences, with great enthusiasm.
  • Comfortable with ambiguity and capable of thriving in a mission-driven, fast-paced startup environment where innovation and adaptability are key.

Requirements

  • Empathetic and deeply committed to team success. You feel the weight of your team's challenges, and you rise to the occasion by taking ownership, driving solutions, and fostering collaboration to bring ideas from prototype to production.

Bonus

  • Working knowledge of the full application stack, from cloud networking to web application frontends.
  • Familiarity with data governance, compliance, and security best practices, especially in the context of healthcare or regulated industries.
  • Previous experience working within or adjacent to the healthcare industry, oncology and/or clinical trials data.
  • Experience with our tech stack: AWS, EKS (k8s), Docker, Terraform, Kotlin, React, Python, Spark, Databricks.
  • Witch/Wizard-level command line skills.
  • Demonstrated expertise in deploying and operationalizing LLMs using advanced frameworks (e.g., Hugging Face, LangChain, LlamaIndex) and MLOps tools to streamline production workflows and ensure model scalability, efficiency, and reliability in production environments.

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Data Science Platform Engineer @Paradigm Health
Software Development
Salary 💸 unspecified
Remote Location
USA
Job Type full-time
Posted Apr 03, 2025
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📍 Be aware of the location restriction for this remote position: USA
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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