Full-Stack Machine Learning Engineer / Data Scientist
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The role
We are seeking a full-stack ML engineer / data scientist to design, develop, and deploy software and data services that support research productivity and reliability.
Responsibilities include building scalable data pipelines, preprocessing and integrating multimodal data (mobile surveys, wearables, EHR, social data) and developing real-time visualizations and dashboards.
Lead model development, evaluate performance, conduct error analysis, and implement improvements across clinical research initiatives.
Collaborate with researchers and IT teams to ensure reproducible code, interoperability, and clinically relevant analytics.
Develop and support secure dashboards or lightweight apps that synthesize data and provide real-time insights; deploy modular visualization components.
This is a one-year term position with potential renewal; hybrid work arrangements may apply.
Responsibilities include building scalable data pipelines, preprocessing and integrating multimodal data (mobile surveys, wearables, EHR, social data) and developing real-time visualizations and dashboards.
Lead model development, evaluate performance, conduct error analysis, and implement improvements across clinical research initiatives.
Collaborate with researchers and IT teams to ensure reproducible code, interoperability, and clinically relevant analytics.
Develop and support secure dashboards or lightweight apps that synthesize data and provide real-time insights; deploy modular visualization components.
This is a one-year term position with potential renewal; hybrid work arrangements may apply.
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