Principal Data Scientist

The Position:

We are seeking a talented and experienced Principal Data Scientist with proven expertise in developing oncology-based digital pathology AI models (DPAI) to join our Veracyte’s Data Science team. This position offers a unique opportunity to work with skilled professionals to drive Veracyte’s DPAI-based research program. Successful candidate is expected to lead algorithm development of new diagnostic products based on digital pathology by leveraging one of the world’s largest multi-modal oncology databases.   

Key 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 to Veracyte’s and collaborator
• Identify the 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 the deliverables.
• Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor projects and algorithms accordingly. 
• Partner closely with bioinformatics, statistical, and medical experts to document projects, including writing and generating analyses and visualizations for publication in peer-reviewed journals. 
• Lead collaboration within and across teams with the ability to manage project execution and completion.
• Coordinate with both internal and external medical experts to identify critical research questions and datasets that build evidence for the utility of our models.

Who You Are:

• PhD in Data Science, Machine Learning, Applied Math or equivalent field. 
• 8+ years of experience of data/applied scientist role or equivalent in disease-related field, (cancer preferred).
• Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes 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 when sharing findings. 
• 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. 

RELEVANT EXPERIENCE (preferred but not required):     

• Experience serving as technical leader or manager.
• Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD).
• Experience working with real world clinical data and evidence.

LOCATION:  

• This is a remote friendly position for both US and Canada based candidates.
• On-site desk-space is available in South San Francisco or San Diego.  <