Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Principal Data Scientist role.
Rezi rewrites your resume against Veracyte's job description. Free.
Tailor your resume to this Principal Data Scientist role.
Rezi rewrites your resume against Veracyte's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Principal Data Scientist posting at Veracyte — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Principal Data Scientist posting at Veracyte — free, in seconds.
About the Role
Veracyte is seeking a talented and experienced Principal Data Scientist with proven expertise in developing oncology-based digital pathology AI models (DPAI). This position offers a unique opportunity to work with skilled professionals to drive Veracyte’s DPAI-based research program, leading algorithm development for new diagnostic products by leveraging one of the world’s largest multi-modal oncology databases.
Responsibilities
- Develop DPAI models using WSI data to predict clinical outcomes and pathological/morphologic features ensuring their biological explainability, including adapting open-source state-of-the-art AI foundation models.
- Identify correct data sources for developing DPAI models and lead team efforts to obtain annotation or labels for ML development.
- Analyze complex data/ML problems and break them into actionable sub projects or tasks.
- Coordinate the delegation of tasks to junior team members as technical lead, track progress and ensure correctness of deliverables.
- Collaborate with internal and external partners to understand clinical and business requirements and tailor projects and algorithms.
- Partner closely with bioinformatics, statistical, and medical experts to document projects, including writing and generating analyses and visualizations for publication.
- Lead collaboration within and across teams with the ability to manage project execution and completion.
- Coordinate with internal and external medical experts to identify critical research questions and datasets that build evidence for model utility.
Requirements
- PhD in Data Science, Machine Learning, Applied Math or equivalent field.
- 8+ years of experience in a data/applied scientist role or equivalent in a disease-related field (cancer preferred).
- Expert in Python or equivalent language for AI/ML development in computer vision / DPAI (including data manipulation and preparation).
- Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects).
- Experience working in cloud computing environments (AWS preferred).
- Demonstrated proficiency in summarizing and communicating findings from data, including attention to detail.
- Demonstrated ability to clearly explain AI/ML concepts to both experts and non-experts in text and figures via formal presentations and academic writing.
- Ability to work effectively in a fast-paced and collaborative environment.
- Eagerness to learn new technologies and adapt to evolving requirements.
- Direct technical leadership and employee management experience, including the ability to break down complex problems into actionable and delegable projects.
- Passionate about data, independently eager to learn, and possesses strong analytical, problem-solving, and story-telling skills.
- Experience serving as technical leader or manager (preferred).
- Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD) (preferred).
- Experience working with real-world clinical data and evidence (preferred).
Skills
- Digital Pathology AI models (DPAI)
- Oncology
- Python
- AI/ML development
- Computer vision
- Data manipulation
- Data preparation
- Statistical analysis
- Survival modelling
- Hypothesis testing
- Multivariate regression modelling
- Interaction effects
- Cloud computing (AWS)
- Data summarization
- Data communication
- AI/ML concept explanation
- Technical leadership
- Employee management
- Analytical skills
- Problem-solving skills
- Story-telling skills
- Documentation
- Submission in regulated diagnostic environments (LDT or IVD)
- Real-world clinical data
- Real-world evidence
Location
- Remote (US)
- Remote (Canada)
- On-site (South San Francisco)
- On-site (San Diego)
Work Type
- Remote
- On-site
Experience Level
- 8+ years of experience
- Principal level
Education Level
- PhD in Data Science, Machine Learning, Applied Math or equivalent field
Salary/Compensations
- $188,000 - $210,000 USD (US Remote)
- $160,000 - $182,000 (Canada Remote)
Benefits
- Competitive compensation
- Competitive benefits
- Potential for additional discretionary bonuses/incentives
- Potential for restricted stock units
About the Company
- Veracyte is a global diagnostics company whose vision is to transform cancer care for patients all over the world.
- We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer.
- Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine.
- Recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel.
Equal Opportunity
- Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status.
- Veracyte participates in E-Verify in the United States.