BigHat Biosciences
Intern, Data Science (Summer 2025)
BigHat Biosciences, San Mateo, California, United States, 94409
Intern, Data Science (Summer 2025)
Department:
DS/ML (Data Science/Machine Learning)
Employment Type:
Internship
Location:
San Mateo, CA
Description
The role:
BigHat Biosciences is seeking a highly motivated Data Scientist intern to join us for Summer 2025. This position will focus on advancing BigHat's data science capabilities, which support our state-of-the-art antibody engineering platform and therapeutic programs.
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 Preferred qualifications:
Currently have or are working towards a bachelor's or graduate degree (MS or PhD) in biology, statistics, computer science, bioengineering, or a related field Familiarity with bioinformatics pipelines, classic statistical models (regression, ANOVA, random effects models), experimental design, and AI/ML techniques (SVMs, deep learning) Competency in Python, R, or similar programming languages. Familiarity with pandas, git-based version control Enjoys a fast-paced environment where analyses are quickly translated into business and scientific decisions Demonstration of skills through publications or previous research/internship experience Nice-to-haves: experience communicating high-level results to scientific audiences, such as in lab/department meetings or conferences
Department:
DS/ML (Data Science/Machine Learning)
Employment Type:
Internship
Location:
San Mateo, CA
Description
The role:
BigHat Biosciences is seeking a highly motivated Data Scientist intern to join us for Summer 2025. This position will focus on advancing BigHat's data science capabilities, which support our state-of-the-art antibody engineering platform and therapeutic programs.
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 Preferred qualifications:
Currently have or are working towards a bachelor's or graduate degree (MS or PhD) in biology, statistics, computer science, bioengineering, or a related field Familiarity with bioinformatics pipelines, classic statistical models (regression, ANOVA, random effects models), experimental design, and AI/ML techniques (SVMs, deep learning) Competency in Python, R, or similar programming languages. Familiarity with pandas, git-based version control Enjoys a fast-paced environment where analyses are quickly translated into business and scientific decisions Demonstration of skills through publications or previous research/internship experience Nice-to-haves: experience communicating high-level results to scientific audiences, such as in lab/department meetings or conferences