Caris Life Sciences is seeking a Data Scientist to join their Computational Pathology team to focus on data preparation, integration, exploratory analyses, hypothesis-driven research, and scientific writing, playing a key role in generating high-quality datasets and insights for research publications, abstracts, and presentations.
Requirements
- Proficiency in Python or R for data manipulation, analysis, and visualization.
- Experience with SQL and working with relational databases.
- Experience preparing datasets for statistical modeling or AI-based analyses.
- Familiarity with whole slide images (WSIs) or other medical imaging data.
- Knowledge of cloud computing platforms such as AWS, Azure, or GCP.
- Track record of contributions to peer-reviewed publications or conference presentations.
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.
- Validate data quality and maintain documentation for reproducibility and regulatory requirements.
- Perform exploratory analyses to identify patterns, generate hypotheses, and guide design and discovery research.
- Generate descriptive statistics, summary tables, and visualizations for internal use and external publications.
- Develop analytic plans to evaluate hypotheses using appropriate statistical and computational methods.
- Develop figures, tables, and supplementary materials for peer-reviewed journals and scientific conferences.
Other
- PhD in Data Science, Computational Biology, Bioinformatics, Statistics, Biology, or related field with exposure to cancer biology or biomedical research.
- 1 – 3 years’ experience in data science.
- Strong analytical skills and experience working with large, complex datasets.
- Excellent written communication skills, with demonstrated experience drafting or contributing to manuscripts, abstracts, or technical reports.
- 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.
- Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.
- Background in oncology, precision medicine, or translational research.
- Occasional after-hours response may be required to meet project deadlines.
- Limited travel may be required for conferences or collaborative meetings.
