Data Analyst Jobs in Des Moines, WA

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Senior Data Science Analyst - CSiG

Mayo ClinicRochester, MN
$125,445 - $188,261

About The Position

The Artificial Intelligence (AI) Core is a key component of the NIH funded P30 Digestive Diseases Research Core Center grant, which is entitled the Mayo Clinic Center for Cell Signaling in Gastroenterology. We are seeking a Senior Data Science Analyst to join our AI core to help develop, organize, and employ agentic AI based solutions powered by stacked frontier models. The focus of the core initially will be on spatial biology and multimodal omics integration to aid P30 members in discovery science. In this role, you will work for the AI Core along with a medical and scientific director (co-directors) and actively support members in the use of agentic AI models while simultaneously driving the rigorous experimental frameworks required to validate them. By bridging the gap between model training and statistical science, you will ensure our systems are not just performative, but biologically generalizable and ready to transform the future of digestive disease research. Data Scientists at Mayo Clinic perform detailed analysis of large bodies of scientific data in order to discover new patterns and insights having an impact ultimately upon patient health. The preferred candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, and data science methods and the mathematical theories underlying these tools used to analyze data. The individual should have advanced knowledge of computational biology data types, topics, and scientific challenges and approaches. You may work with knowledge architects, informaticians, and clinicians at Mayo to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of omics data including transcriptomics, genetics, proteomics, and spatial biology. The core applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI, as required, by leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. You will provide consultative services at a scientific level to support scientific projects. You will be housed within a digital biology-focused team focused on advanced AI technology for Mayo Clinic Digital Pathology.

Requirements

  • Advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, and data science methods.
  • Advanced knowledge of computational biology data types, topics, and scientific challenges and approaches.
  • Must be a U.S. citizen, permanent resident, refugee, or asylee.

Responsibilities

  • Develop, organize, and employ agentic AI based solutions powered by stacked frontier models.
  • Support members in the use of agentic AI models.
  • Drive rigorous experimental frameworks required to validate AI models.
  • Ensure systems are biologically generalizable and ready to transform the future of digestive disease research.
  • Perform detailed analysis of large bodies of scientific data to discover new patterns and insights.
  • Develop and deploy applications to bring AI and analytic solutions to nontechnical users.
  • Apply and modify existing scripts or software applications to support data management, data extraction, data analysis, and AI.
  • Provide consultative services at a scientific level to support scientific projects.

Benefits

  • Competitive compensation
  • Comprehensive benefit plans
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
  • Continuing education and advancement opportunities

Career Resources

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