Caris Life Sciences · 22 hours ago
Data Scientist - Innovation - PhD
Irving, TX
Full-time
Onsite
Mid, Senior Level
1+ years expCaris Life Sciences is seeking a creative, driven, and analytically strong Data Scientist to join the Innovation Team. This role will support the development and application of machine learning and statistical methods using next-generation sequencing (NGS) and related clinical and molecular data.
Artificial Intelligence (AI)BiopharmaBiotechnologyHealth CareLife Science
Responsibilities
Process, curate, manipulate, and analyze large and complex NGS-derived datasets to support biomarker discovery and assay development initiatives
Implement, test, and iterate on machine learning models and analytical workflows in alignment with established research objectives and technical direction
Apply statistical, machine learning, deep learning, and survival analysis techniques to analyze genomic and clinical datasets and generate interpretable results
Support the development and evaluation of explainable machine learning models for risk prediction and biomarker analysis
Assist with the integration and analysis of multi-omics data sources (e.g., WGS/WES, transcriptomics, proteomics, metabolomics) for downstream research and clinical insights
Execute analyses within existing analytic pipelines and contribute improvements under guidance from senior team members
Collaborate closely with bioinformaticians, molecular biologists, geneticists, data scientists, and software engineers to support cross-functional research goals
Prepare clear documentation, visualizations, and summaries of analytical results for internal stakeholders
Support ad hoc analytical requests with appropriate prioritization and technical oversight
Follow established best practices for code quality, version control, reproducibility, and data governance
Qualification
Required
PhD in Data Science, Computational Biology, Bioinformatics, Genetics/Genomics, Mathematics, Computer Science, Engineering, or a related field, with demonstrated exposure to cancer biology or translational research
1-5 years of relevant working experience in bioinformatics and data science
Proficiency in programming in Python
Familiar with Linux environment and git
Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use
Preferred
Experience with deep learning libraries such as PyTorch or TensorFlow
Experience with explainable ML methods (e.g., SHAP)
Knowledge of polygenic risk scores (PRS) and genetic risk prediction frameworks
Experience working with large-scale biobanks or clinical datasets (e.g., UK Biobank, All of Us, eMERGE)
Knowledge of survival analysis and event data
Proficiency in the suite of AWS offerings (SageMaker, HealthOmics, etc.) or Databricks
Knowledge of wet lab sequencing processes
Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories
Track record of peer-reviewed publications in relevant fields
Benefits
Relocation assistance may be available for qualified candidates.
Company
Caris Life Sciences
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
$1.86BKey Investors
BraidwellOrbiMedSixth Street
2025-06-18IPO
2025-04-07Private Equity· $168M
2023-01-19Debt Financing· $400M
Leadership Team
Luke Power
Chief Financial Officer
Brian Stengle
SVP, Chief Marketing Officer
Recent News
Labiotech UG
2026-01-17
2026-01-14
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