Data Science Analyst Neurology AI

Position Overview

Data Science Analysts at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data toidentifypatterns and insightsimpactingpatient health. This position is assigned to theNeurology AI programand focuses on developing workflows for medical imaging and electrophysiological 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 significantcomponentof software and data engineering. The Data Science Analyst will develop andmodifysoftware to interface with existing systems that produce clinical data streams supporting data management extraction and analysis.

Primary Responsibilities

• Data Analysis & Modeling: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.

• Software & Data Engineering:Develops andmodifiesscripts or software applications to support data management and extraction. Interfaces with existing software systems to build workflows for medical imaging and electrophysiological data.

• Consultation:Works withengineers informaticians and clinicians to develop and deploy analytic solutions for non-technical insights for problems approachable through analytics techniquesusing a consultative team-oriented mindset.

• Reporting & Communication:Contributes to the interpretation of data analysis and report writing. Presents findings to business or clinical practice stakeholders.

• Support:Helps customers understand datasets and provides training or suggestions for improvement on data support scientific projects under the guidance of a senior-level data scientist.

A Bachelors 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 will be considered.

The preferred candidate will possess a Masters 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.

Technical Competencies

• Programming:Proficiencyin Python isrequired. Exposure to Java or C is preferred for system interfacing.

• Data Engineering:Experience with SQL and data warehousing/data lakes isrequired. Familiarity with Apache Spark or similar tools is preferred.

• Signal Processing:Basic familiarity with time series analysis and signal processing methodologies.

• Analytics:Demonstratedapplication of analytical tools and methodologies (e.g. machine learning statistical packages modeling). Experience with data modeling and data exploration tools.