The Laboratory for Computational Immunology at the University of Chicago is seeking a Staff Data Scientist specializing in Computational Immunology to support the lab’s research projects by developing and applying machine learning models to immunology, managing high-quality datasets, and assisting with the preparation of research presentations and publications.
Requirements
- Proficiency in programming languages such as Python or R, with experience in scientific computing and data analysis libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
- Familiarity with version control systems (e.g., Git) and reproducible research practices.
- Ability to design, implement, and benchmark computational models, with understanding of appropriate metrics.
- Strong analytical and problem-solving skills, with the ability to interpret complex biological data.
- Familiarity with scientific communication tools (e.g., LaTeX, PowerPoint) for preparing presentations, manuscripts, and reports.
- Hands-on experience applying machine learning or statistical modeling to biological datasets.
- Working knowledge of machine learning and computational biology, with applications in immunology.
Responsibilities
- Assist in the research, development, and/or application of machine learning models to immunology, working with students, postdocs, and other lab members on model design and implementation.
- Plan and run experiments; collect, curate, annotate, and analyze data; maintain high-quality training/validation datasets with robust metadata.
- Establish and enforce lab-wide standards for coding, data management, and documentation; build rigorous benchmarking frameworks, define metrics, and deliver interpretation reports.
- Mentor trainees and research staff through code reviews, technical support, and modeling best practices in software engineering and computational immunology.
- Collaborate across the lab and with partners to scope and launch new research projects.
- Disseminate results via journal publications and presentations at conferences, seminars, and lab meetings; conduct literature reviews and prepare materials for research talks.
- Contribute to grant proposals and reports; co-author manuscripts; provide peer review for manuscripts and grant applications.
Other
- Minimum requirements include a college or university degree in related field.
- Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
- PhD or Master’s degree in Computational Biology, Bioinformatics, Immunology, Computer Science, or a closely related field.
- Coursework or research experience in machine learning, statistics, or computational modeling is strongly preferred.
- Experience mentoring or guiding students, interns, or junior researchers is a plus.
