Data Scientist II

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. 

Our Values:

• We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care
• We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work
• We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins
• We Care Deeply: We embrace our differences, do the right thing, and encourage each other

 

The Position:

This is a remote friendly position. On-site cube available in South San Francisco or San Diego.  

We are seeking a talented and experienced AI/ML data scientist to join our Veracyte’s Data Science team. This position offers a unique opportunity to work with experienced professionals to drive research and develop new diagnostic products employing one of the world’s largest clinical cancer databases, encompassing multi-platform digital pathology, genomic and clinical outcome data.    

The successful candidate will assist in the development of digital pathology AI models for a wide range of clinical and pathology outcomes by applying and adapting state-of-the-art vision/vision-language foundation models to whole-slide images (WSIs). As a Data Scientist II at Veracyte, the candidate will be expected to adapt and develop solutions to complex problems under company’s objective. This work will be conducted in close collaboration with other teams, including internal medical and business development teams, as well as key opinion leaders, with whom we collaborate on identifying relevant data, and developing computer vision models. The ability to explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures will be key necessary talents. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills.   

 KEY RESPONSIBILITIES:   

• Assist in the development of digital pathology AI (DPAI) models with WSI data to predict clinical outcome and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte’s data.  

• Assist in the evaluation and analyzing of DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. 

• Participate in the design and carry experiments to compare and evaluate DPAI methods. Document and explain the results. 

• Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly.  

•  Work with bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. 

Who You Are:

REQUIRED EXPERIENCE:    

• PhD in Statistics, Biostatistics, Data Science or equivalent field.  

• 3+ years of experience of data/applied scientist role or equivalent 

• Proficient in Python or equivalent in carrying out AI development.  

• Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent.  

• Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects).  

• Excellent in summarizing and communicating findings from data and attention to detail.  

• Ability to work effectively in a fast-paced and collaborative environment. 

• Eagerness to learn new technologies and adapt to evolving requirements.  

RELEVANT EXPERIENCE (preferred but not required):      

• Knowledge of cancer biology 

• Experience working with real world clinical data. 

 

#LI-Hybrid, or #LI-Remote

 

The final salary offered to a successful candidat