Data Insights Engineer, Machine Learning

• 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.

• 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.