Data Science Analyst - Neurology AI

Mayo ClinicRochester, MN

About The Position

Position Overview Data Science Analysts at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data to identify patterns and insights impacting patient health. This position is assigned to the Neurology AI program and focuses on developing workflows for medical imaging and electrophysiological data. This role emphasizes a collaborative, team-based approach to problem-solving, working closely with clinicians, informaticians, and technical partners to develop clinically meaningful solutions. In addition to standard model development and analysis, this role requires a significant component of software and data engineering. The Data Science Analyst will develop and modify software to interface with existing systems that produce clinical data streams, supporting data management, extraction, and analysis.

Requirements

  • A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science.
  • Proficiency in Python is required.
  • Experience with SQL and data warehousing/data lakes is required.
  • Basic familiarity with time series analysis and signal processing methodologies.
  • Demonstrated application of analytical tools and methodologies (e.g., machine learning, statistical packages, modeling).
  • Experience with data modeling and data exploration tools.

Nice To Haves

  • Master’s degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data.
  • Exposure to Java or C is preferred for system interfacing.
  • Familiarity with Apache Spark or similar tools is preferred.

Responsibilities

  • Executes analytical procedures using machine learning, deep learning, statistical data processing, and signal processing techniques.
  • Develops predictive models on datasets to address business and clinical problems.
  • Develops and modifies scripts or software applications to support data management and extraction.
  • Interfaces with existing software systems to build workflows for medical imaging and electrophysiological data.
  • Works with engineers, informaticians, and clinicians to develop and deploy analytic solutions for non-technical users.
  • Provides data insights for problems approachable through analytics techniques using a consultative, team-oriented mindset.
  • Contributes to the interpretation of data analysis and report writing.
  • Presents findings to business or clinical practice stakeholders.
  • Helps customers understand datasets and provides training or suggestions for improvement on data requests.
  • May support scientific projects under the guidance of a senior-level data scientist.
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