Data Science Analyst Senior/Intermediate

The University of Michigan; Ann Arbor (MI); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Excellent medical, dental and vision

2:1 retirement match

Job summary

University of Michigan’s Michigan Medicine MAISE team seeks a Data Science Analyst Senior/Intermediate to design, develop, validate, deploy, and maintain AI and data science solutions for clinical, operational, and research needs. You will work with EHR data, relational databases, and healthcare information sources to build ML models, NLP/Large Language Models, and automated pipelines.

You will collaborate with clinicians, researchers, and IT professionals to ensure reliable, scalable, and

Qualifications

• Bachelor's degree in Computer Science or a related field; senior level requires five+ years experience or master's with two+ years.
• Experience in data science, machine learning, statistics, or software development.
• Experience with ML frameworks, traditional ML, deep learning, and generative AI.
• Experience with clinical NLP, LLMs, prompt engineering, information extraction, or automated clinical documentation.
• Experience developing, testing, debugging, and documenting software, data pipelines, ETL workflows, APIs, or production apps.

Responsibilities

• Define project requirements with clinical, operational, research, and technical stakeholders.
• Acquire, cleanse, integrate, and analyze structured and unstructured healthcare data.
• Design scalable data structures and reusable pipelines for AI apps.
• Develop, train, evaluate, and optimize ML and statistical models for clinical, operational, and research use.
• Develop clinical NLP and LLM applications for information extraction and workflow automation.
• Build and maintain data pipelines and ETL processes for model development and production.
• Integrate AI solutions with existing databases and healthcare systems.
• Validate AI outputs and model performance with clinicians and researchers.
• Monitor model performance, data quality, and system reliability; propose improvements.
• Document data processing, model development, evaluation, deployment and maintenance procedures.

Skills

Data science

Machine learning

NLP/LLMs

Data pipelines/ETL

Software development

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

SQL Server

Oracle

PostgreSQL

Job description

Data Science Analyst Senior/Intermediate

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Job Summary

Michigan Anesthesiology Informatics and Systems Improvement Exchange (MAISE) is part of the University of Michigan Department of Anesthesiology. We are a group made up collectively of IT, business, and healthcare professionals. Our goal is to leverage IT to its fullest to improve patient safety and create better health care outcomes.

In this position, you will work under the general direction of the MAISE AIG Manager. As a Data Architect Intermediate/Senior, you will design, develop, validate, deploy, and maintain data science and artificial intelligence (AI) solutions that address clinical, operational, and research needs within Michigan Medicine. You will work with electronic health record (EHR) systems, clinical data, relational databases, and other healthcare information sources to develop machine learning models, clinical natural language processing (NLP) applications, large language model (LLM) solutions, and automated data processing pipelines.

You will leverage relational database technologies, including SQL Server, Oracle, and/or PostgreSQL, to access, transform, integrate, and manage data for AI and data science applications. You will translate clinical and operational challenges into practical, data-driven solutions through data acquisition and preprocessing, exploratory data analysis, feature engineering, model development and evaluation, AI output validation, software development, system integration, and production monitoring. You will develop custom solutions that support the EHR ecosystem and its downstream stakeholders, including Finance, Billing, Quality Assurance (QA), and Research. These solutions may involve enhancing and maintaining existing in-house applications or scoping, designing, developing, and implementing new solutions from the ground up. You will collaborate with clinicians, researchers, analysts, software developers, and IT professionals to ensure that solutions are reliable, scalable, maintainable, and appropriate for their intended use.

This position offers opportunities to contribute to innovative projects involving clinical prediction, automated clinical documentation analysis, coding and billing support, quality improvement, patient safety, and research. You will also contribute to the ongoing validation and monitoring of AI solutions to help ensure their accuracy, reliability, performance, and suitability for their intended clinical and operational applications.

Responsibilities*

• Defines project requirements, scope, and objectives with clinical, operational, research, and technical stakeholders.
• Acquires, cleans, integrates, and analyzes structured and unstructured healthcare data using SQL, relational databases, EHR systems, and other data sources.

Designs scalable data structures, data integration patterns, and reusable data pipelines to support AI applications, data science workflows, and integration across healthcare information systems.

• Develops, trains, evaluates, and optimizes machine learning and statistical models for clinical, operational, and research applications.
• Develops clinical NLP and LLM applications for information extraction, clinical summarization, structured data generation, and workflow automation.
• Builds and maintains data pipelines, ETL processes, and automated workflows for model development, validation, deployment, and production operations.
• Integrates AI solutions with existing databases, applications, and healthcare information systems.
• Validates AI outputs and model performance in collaboration with clinicians, researchers, and subject matter experts to improve accuracy and reliability.
• Develops, tests, debugs, and maintains production software and resolves issues affecting performance, scalability, and reliability.
• Monitors model performance, data quality, and system reliability; identifies issues and implements improvements.
• Proposes novel solutions to issues that arise, evaluate the feasibility of the solution, adapt and refine the model as applicable.
• Develops reports and visualizations to communicate analytical results and support clinical, operational, and research needs.
• Optimizes algorithms and workflows to improve computational efficiency, performance, and scalability.
• Documents data processing, model development, evaluation, deployment, limitations, and maintenance procedures.
• Applies appropriate data privacy, security, governance, and responsible AI practices.
• Collaborates with internal teams and external partners on data integration, research, and technical projects.
• Contributes throughout the project lifecycle, from feasibility assessment and development to implementation, maintenance, and continuous improvement

Required Qualifications*

Senior

Bachelor's degree in Computer Science or a related field, with at least five years of directly relevant professional experience, or Master's degree in Computer Science or a related field, with at least two years of directly relevant professional experience, for the senior level.

Experience in data science, machine learning, statistical analysis, software development, or related fields.

Experience with machine learning frameworks and algorithms, including traditional machine learning, deep learning, and generative AI.

Experience with clinical NLP, large language models (LLMs), prompt engineering, information extraction, or automated clinical documentation analysis.

Experience developing, testing, debugging, and documenting software, data pipelines, ETL workflows, APIs, or production applications.

Knowledge of model validation, monitoring, interpretability, reproducibility, and maintenance.

Strong analytical, problem-solving, organizational, written communication, and presentation skills.

Ability to work independently and collaboratively with multidisciplinary teams, and to interact effectively with diverse internal and external stakeholders.

Ability to manage competing priorities, adapt to changing requirements, and work effectively in a fast-paced environment.

Willingness to learn healthcare systems, clinical workflows, and new technologies.

Intermediate

Bachelor's degree in Computer Science or a related field, with at least three years of relevant professional experience, for the intermediate level.

Candidates with extensive relevant experience and qualifications are encouraged to apply and may be considered for appointment at the senior level.

Desired Qualifications*

Master's degree in Computer Science or a related field.

Experience with Epic, including demonstrated proficiency or relevant certification.

Experience with electronic health record (EHR) systems, clinical databases, healthcare data standards, or Epic.

Health system experience or experience collaborating with clinicians, researchers, or healthcare administrators.

Familiarity with Linux, Git, automated testing, continuous integration and continuous deployment (CI/CD), containers, and production deployment.

Experience with data warehouses, cloud or on-premises infrastructure, or GPU computing.

Knowledge of healthcare data privacy, information security, and responsible AI practices.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

• Excellent medical, dental and vision coverage effective on your very first day
• 2:1 Match on retirement savings

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .

Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process maybegin as early as the eighth day after posting.Thisopening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.