Veracyte, Inc.
Overview
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 make a meaningful impact on patients’ lives, and to 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
We are seeking a talented and experienced AI/ML data scientist to join 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 develop 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 Sr. Scientist at Veracyte, the candidate will be expected to show technical leadership in this field and independently drive project execution and completion. 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
Develop digital pathology AI (DPAI) models with WSIs data to predict clinical outcomes and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte’s data. Evaluate and analyze DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. Collaborate with internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly. Work with a bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. Who You Are
PhD in Data Science, Machine Learning, Applied Math or equivalent field. 8+ years of experience in a data/applied scientist role or equivalent. Expert in Python or an equivalent language for AI/ML development in the context of computer vision / DPAI (including data manipulation and preparation). Proficient in statistical analysis, especially in survival modelling and hypothesis testing (e.g., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, with attention to detail when sharing findings. 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 Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD). Experience working with real world clinical data. Location
This is a remote friendly position. On-site desk-space is available in South San Francisco or San Diego. #LI-Hybrid, #LI-Remote
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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 make a meaningful impact on patients’ lives, and to 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
We are seeking a talented and experienced AI/ML data scientist to join 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 develop 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 Sr. Scientist at Veracyte, the candidate will be expected to show technical leadership in this field and independently drive project execution and completion. 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
Develop digital pathology AI (DPAI) models with WSIs data to predict clinical outcomes and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte’s data. Evaluate and analyze DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. Collaborate with internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly. Work with a bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. Who You Are
PhD in Data Science, Machine Learning, Applied Math or equivalent field. 8+ years of experience in a data/applied scientist role or equivalent. Expert in Python or an equivalent language for AI/ML development in the context of computer vision / DPAI (including data manipulation and preparation). Proficient in statistical analysis, especially in survival modelling and hypothesis testing (e.g., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, with attention to detail when sharing findings. 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 Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD). Experience working with real world clinical data. Location
This is a remote friendly position. On-site desk-space is available in South San Francisco or San Diego. #LI-Hybrid, #LI-Remote
#J-18808-Ljbffr