Validation Data Scientist

Indica LabsAlbuquerque, NM
12dHybrid

About The Position

Under the general guidance of the Sr. Principal Scientist, AI Diagnostics, this position is primarily responsible for developing data analysis pipelines for software and algorithm performance testing as well as executing image analysis workflows. This position collaborates at all levels of the organization to ensure that validation testing and data analysis meets regulatory standards and is thorough, accurate, and successful across all product lines.

Requirements

  • Bachelor’s Degree in a scientific, engineering, or data-oriented field.
  • Authorization to work in the United States, or appropriate authorization to work in the applicant’s current home country (Indica Labs, Inc. does not sponsor work visas)
  • Strong written and verbal communication
  • Cross-functional team interaction
  • Coding in R and Python
  • Familiarity with Git version control
  • Statistical Analysis, Data Visualization, and Machine Learning knowledge
  • Ability to research and learn adjacent technical skills continuously
  • Ability to give and use constructive feedback
  • Self-motivated and self-directed time allocation

Nice To Haves

  • Preference given to applicants currently residing in New Mexico
  • Master’s Degree in Data Science, Data Analytics, or related field

Responsibilities

  • Create, refine, and validate GCP-compliant data analysis pipelines for various development and testing needs, including algorithm development and clinical performance validation testing.
  • Collaborate with developers, imaging scientists and product managers to execute AI-based image analysis workflows for the generation of AI digital pathology products.
  • Collaborate with developers, product managers and regulatory managers to design validation tests for the evaluation of software performance and ensure test evidence is adequately documented.
  • Collaborate with product and regulatory managers to establish external collaborations to support validation and performance testing as needed.
  • Assist management of validation
  • Collaborate with image analysts to produce multiplexed clustering analysis and data visualizations
  • Assist with data models for algorithm enhancement.
  • Develop documentation to support pipelines and models
  • Assist in analyzing or validating statistical output for published data
  • Synthesize information from current literature and justify sample size decisions for validation studies
  • Summarize validation findings clearly in written reports that can be used in submissions to notified bodies
  • Health Information (PHI) as outlined by policy and the Health Insurance Portability and Accountability Act (HIPAA)
  • This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice
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