Data Insights Engineer, Machine Learning

Job Description

Posted on: 
December 4, 2023

You will help guide our product roadmap and help lead the technical development effort of our models. Engaging with a cross-functional group of stakeholders both within Prism and across the company, you will lead model development projects from scoping through to productionization and delivery.


  • Interface with internal scientific stakeholders and customers to understand what data they need to conduct high quality research.
  • Apply ML and NLP techniques to turn raw clinical data into high quality research variables.
  • Work with quantitative scientists and oncologists to validate that your models can be used to generate sound scientific insights.
  • Collaborate with other Data Scientists on our team and across the company to level-up our ML capabilities by developing new ML architectures.
  • Work cross-functionally with software engineers to productionize these new variables.

Job Requirements

  • You have 3+ years of relevant working experience in a technical capacity, with a focus on ML. Prior experience with NLP is strongly preferred.
  • You have a strong background in applying ML to solve real-world problems.
  • You have collaborated with other technical team members in a production development environment using formal version control, Python, and SQL.
  • You have led large, cross-functional initiatives and excel at influencing decision-making without authority.

Extra Credit

  • You have experience with Deep Learning and LLMs.
  • You have ML experience in a healthcare setting.
  • You have experience with the risks of bias in machine learning, health equity research/analysis or have worked with underrepresented groups in a clinical research setting.

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