Caris Life Sciences is seeking to improve the human condition across multiple diseases, including cancer, by transforming cancer care and leading a revolution in healthcare driven by innovation, compassion, and purpose.
Requirements
- PhD in Data Science, Computational Biology, Bioinformatics, Statistics, Biology, or related field with exposure to cancer biology or biomedical research.
- Proficiency in Python or R for data manipulation, analysis, and visualization.
- Experience with SQL and working with relational databases.
- Strong analytical skills and experience working with large, complex datasets.
- Background in oncology, precision medicine, or translational research.
- Experience preparing datasets for statistical modeling or AI-based analyses.
- Familiarity with whole slide images (WSIs) or other medical imaging data.
Responsibilities
- Extract, clean, and integrate data from diverse sources, including histopathology, molecular, and clinical datasets.
- Build efficient queries and data pipelines to support research studies, modeling, and publication efforts.
- Perform exploratory analyses to identify patterns, generate hypotheses, and guide design and discovery research.
- Collaborate with scientists and clinicians to design studies guided by specific research questions.
- Develop analytic plans to evaluate hypotheses using appropriate statistical and computational methods.
- Prepare clear documentation of study methodology, datasets, and analytic workflows.
- Develop figures, tables, and supplementary materials for peer-reviewed journals and scientific conferences.
Other
- Ability to think critically about data and study design to generate robust and reproducible results.
- Strong collaboration and problem-solving skills, with the ability to work in multidisciplinary teams.
- Excellent written communication skills, with demonstrated experience drafting or contributing to manuscripts, abstracts, or technical reports.
- Occasional after-hours response may be required to meet project deadlines.
- Limited travel may be required for conferences or collaborative meetings.
