Intern, Data Science (Summer 2025) DS/ML (Data Science/Machine Learning)

Possible projects include:

• Implement robust, scalable data processing workflows for transforming high-throughput experimental measurements into biologically-relevant datasets for statistical and machine learning
• Build interactive dashboards which integrate data across multiple assays and enable scientists and program managers to understand the status of each optimization campaign and improve antibody design 
• Develop analyses and visualizations that relate high-dimensional antibody sequence space to experimental metrics of antibody function and quality
• Design and implement innovative strategies to analyze, model, and interpret diverse biological datasets
• Source, implement and improve state of the art computational approaches from the literature and public domain to accelerate BigHat’s antibody optimization campaigns
• Collaborate closely with a large cross-section of the BigHat team including wet lab scientists, automation engineers, software engineers, data scientists, and machine learning researchers