Veracyte, Inc.
Overview
Veracyte is seeking a talented and experienced AI/ML data scientist to join our Data Science team. This remote-friendly position (on-site cube available in South San Francisco or San Diego) offers the opportunity to work with a large clinical cancer database, including multi-platform digital pathology, genomic and clinical outcome data, to develop digital pathology AI models for clinical and pathology outcomes. We are a global genomic diagnostics company focused on transforming cancer care. This role requires the ability to explain AI/ML concepts to both experts and non-experts, including formal presentation and generation of publication-quality figures. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. Veracyte 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. View our CCPA Disclosure Notice. For safety, if you receive suspicious alerts or communications about Veracyte roles, please report concerns to careers@veracyte.com. Key Responsibilities
Develop digital pathology AI (DPAI) models with WSI 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, linking explainability of model features to biology. Design and conduct experiments to compare and evaluate DPAI methods; document and explain results. Collaborate with internal and external partners to understand clinical and business requirements 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
Required Experience
PhD in Data Science, Machine Learning, Applied Math or equivalent field. 5+ years of experience in a data/applied scientist role or equivalent. Expert in Python or an equivalent language for AI/ML development in computer vision / DPAI (data manipulation and preparation). Experience in statistical analysis, especially in survival modelling and hypothesis testing (multivariate regression with interaction effects). Experience working in cloud computing environments (AWS preferred). Proven ability to summarize and communicate findings with 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. Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD). Experience working with real-world clinical data. The final salary offered will depend on factors including experience, education, and other considerations. Base pay is one component of the total package and may be eligible for bonuses, incentives, and restricted stock units. This salary range may not reflect positions in other states where the company operates. Pay range $130,000—$171,000 USD What We Can Offer You
Veracyte offers competitive compensation and benefits, a growth-focused environment, and a commitment to an inclusive workforce. We are recognized as a 2024 Certified Great Place to Work in the US and Israel. About Veracyte
Veracyte (Nasdaq: VCYT) is a global genomic diagnostics company that improves patient care by providing answers to clinical questions, informing diagnosis and treatment decisions. Our tests cover lung, prostate, breast, thyroid, bladder cancers, and idiopathic pulmonary fibrosis, with lymphoma subtyping and renal cancer tests in development. Veracyte is based in South San Francisco, California. For more information, visit www.veracyte.com.
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Veracyte is seeking a talented and experienced AI/ML data scientist to join our Data Science team. This remote-friendly position (on-site cube available in South San Francisco or San Diego) offers the opportunity to work with a large clinical cancer database, including multi-platform digital pathology, genomic and clinical outcome data, to develop digital pathology AI models for clinical and pathology outcomes. We are a global genomic diagnostics company focused on transforming cancer care. This role requires the ability to explain AI/ML concepts to both experts and non-experts, including formal presentation and generation of publication-quality figures. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. Veracyte 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. View our CCPA Disclosure Notice. For safety, if you receive suspicious alerts or communications about Veracyte roles, please report concerns to careers@veracyte.com. Key Responsibilities
Develop digital pathology AI (DPAI) models with WSI 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, linking explainability of model features to biology. Design and conduct experiments to compare and evaluate DPAI methods; document and explain results. Collaborate with internal and external partners to understand clinical and business requirements 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
Required Experience
PhD in Data Science, Machine Learning, Applied Math or equivalent field. 5+ years of experience in a data/applied scientist role or equivalent. Expert in Python or an equivalent language for AI/ML development in computer vision / DPAI (data manipulation and preparation). Experience in statistical analysis, especially in survival modelling and hypothesis testing (multivariate regression with interaction effects). Experience working in cloud computing environments (AWS preferred). Proven ability to summarize and communicate findings with 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. Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD). Experience working with real-world clinical data. The final salary offered will depend on factors including experience, education, and other considerations. Base pay is one component of the total package and may be eligible for bonuses, incentives, and restricted stock units. This salary range may not reflect positions in other states where the company operates. Pay range $130,000—$171,000 USD What We Can Offer You
Veracyte offers competitive compensation and benefits, a growth-focused environment, and a commitment to an inclusive workforce. We are recognized as a 2024 Certified Great Place to Work in the US and Israel. About Veracyte
Veracyte (Nasdaq: VCYT) is a global genomic diagnostics company that improves patient care by providing answers to clinical questions, informing diagnosis and treatment decisions. Our tests cover lung, prostate, breast, thyroid, bladder cancers, and idiopathic pulmonary fibrosis, with lymphoma subtyping and renal cancer tests in development. Veracyte is based in South San Francisco, California. For more information, visit www.veracyte.com.
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