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Veracyte

Principal Data Scientist

RemoteUnited States, Canada only
Published
Role
Data Science
Experience
Principal
Employment
Full-time
$188k–$210k/yr
Check eligibility

Open to US, CA only. Set where you work from to check your eligibility.

No BS summary

Principal Data Scientist with PhD and 8+ years of experience in oncology-based digital pathology AI models (DPAI). Must have expert Python skills for AI/ML, proficiency in statistical analysis (survival modeling, hypothesis testing), and cloud computing experience (AWS preferred). Direct technical leadership and employee management experience required.

Core skills

Pythoncomputer visiondigital pathology AI

Required skills

AIMLstatistical analysissurvival modellinghypothesis testingmultivariate regression modellingcloud computingAWS

Optional skills

technical leadermanagerdocumentationsubmission in regulated diagnostic environmentsLDTIVDreal world clinical datareal world evidence

Required languages

English

What you'll do

  • 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.

What they require

  • 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.

Benefits

  • competitive compensation and benefits
  • significant career opportunities
  • 2024 Certified™ Great Place to Work ® in both the US and Israel

company in South San Francisco, United States

Diagnosticsveracyte.com/
$188k–$210k/yr