Data Science Analyst - Neurology AI

Mayo Clinic
Rochester, MN, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$99,070.0 - $148,616.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Business Analytics Applications Data Analysis Software Applications Clinical Data Repository Computer Programming Information Engineering Data Warehousing Python (Programming Language) Machine Learning Signal Processing
+7 more
Software Systems SQL Databases Apache Spark Deep Learning Data Lakes Information Technology Data Management

Job description

Mayo Clinic’s tech culture is rooted in passion for technology, embraces innovative thinking and strives for high performance. Our teams drive change in health care through comprehensive connected health and digital transformation strategies.

Some examples of our major initiatives are:

  • Utilizing artificial intelligence and machine learning principles to develop next generation patient centric care systems
  • Transforming the practice by applying data science techniques to discover new approaches to health care delivery
  • Leveraging Enterprise Architecture to construct integration centricity, promote data liquidity, and provide innovation support

This transformation creates, connects and applies integrated knowledge to deliver the best health care, health guidance and health information to patients, customers, partners, providers, employees anywhere and anytime so the needs of the patient come first., 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.

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 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.
  • Consultation: 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.
  • 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 requests. May support scientific projects under the guidance of a senior-level data scientist.

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 will be considered.

The preferred candidate will possess a 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.

Technical Competencies

  • Programming: Proficiency in Python is required. Exposure to Java or C is preferred for system interfacing.
  • Data Engineering: Experience with SQL and data warehousing/data lakes is required. Familiarity with Apache Spark or similar tools is preferred.
  • Signal Processing: Basic familiarity with time series analysis and signal processing methodologies.
  • Analytics: Demonstrated application of analytical tools and methodologies (e.g., machine learning, statistical packages, modeling). Experience with data modeling and data exploration tools.

Benefits & conditions

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights

  • 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., Education, experience and tenure may be considered along with internal equity when job offers are extended.; $99,070 -148,616 annually.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobmonkeyjobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Utilizing artificial intelligence to analyze neurodegenerative diseases

Jeremy Murray Jeremy Murray · WWC Europe 2026

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:03 min

Building an AI operating system for clinical diagnostics

Alexandre Guenoun Alexandre Guenoun +3 · WWC Europe 2026

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all