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
- Strong foundation in statistical methods, including survival analysis, Cox proportional hazards modeling, and hypothesis testing.
- Experience working with clinical trial datasets and multi-source biomedical data.
- Proficiency in at least one statistical programming language (e.g., R or Python).
- Experience with SQL and working with relational databases.
- Ability to generate and interpret statistical outputs and communicate results to both technical and non-technical audiences.
- Background in oncology, cancer biology, or translational research.
- Familiarity with regulatory standards for diagnostic or clinical trial analytics (e.g., FDA, CMS).
Responsibilities
- Design and implement statistical models to support biomarker discovery, validation, and clinical trial analysis.
- Develop methods for survival analysis, risk modeling, and treatment benefit prediction.
- Collaborate with pathologists, scientists, and clinicians to translate research questions into statistical frameworks and study designs.
- Conduct hypothesis testing and generate reproducible results for regulatory and publication purposes.
- Prepare clear, well-documented code and reports for both internal and external stakeholders.
- Support ad hoc statistical analyses and data requests in a timely and accurate manner.
- Contribute to scientific manuscripts, abstracts, and presentations.
Other
- PhD degree in Statistics, Biostatistics, Data Science, Bioinformatics, or a related field.
- 1 – 3 years’ experience in data science.
- Excellent written and verbal communication skills.
- Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.
- Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check (applicable for certain positions) and reference verification.
