Credit risk modelling data scientist developing and maintaining models for Desjardins. Guiding risk quantification, credit decisions, compliance, and practitioner - led modelling projects.
About the role
- Data Scientist III position analyzing real-world patient data, contributing to AI/ML modeling at Veracyte. Join a pioneering team committed to transforming cancer care globally.
Responsibilities
- Analyze real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs.
- Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text.
- Conduct statistical analysis and survival modeling for clinical events defined from real-world data.
- Ability to visualize findings from the data and summarize them in a coherent story.
- Support data scientists in developing digital pathology AI models
- Partner closely with bioinformaticians, statisticians, and medical experts in manuscripts.
Requirements
- PhD in Statistics, Data Science, or equivalent field. Or Master of 4+ years of relevant post-graduate experience
- Experience in working with real-world data of insurance claims and EHR records
- Expert in SQL and R or equivalent
- Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent.
- Proficient in statistical analysis, especially in survival modelling and hypothesis testing.
- Experience working in cloud computing environments (AWS preferred).
- Demonstrated proficiency and attention to detail in summarizing and communicating findings from data.
- Ability to work effectively in a fast-paced and collaborative environment.
- Eagerness to learn new technologies and adapt to evolving requirements.
Benefits
- Competitive compensation
- Benefits package
- Professional development opportunities
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