Research Pro 1-Data Analytics

The primary responsibility of this position is to support research in health data science, with a particular focus on the analysis of electronic health records (EHR), clinical notes, and other
related data. The role will also involve contributing to general lab operations and assisting with data-driven health informatics projects. This is a temporary, full-time 1-year appointment.

Job Duties

Data Analysis (70%)

• Develop and execute data processing pipelines and protocols for structured and unstructured EHR data, with emphasis on clinical text analysis.
• Annotate, clean, and preprocess clinical notes and other healthcare-related text using Python or NLP toolkits
• Assist in building, fine-tuning, and evaluating NLP models for tasks such as named entity recognition, document classification, information extraction, and clinical outcome
  prediction.
• Collaborate with clinical and informatics researchers to interpret and validate model
  outputs and findings.
• Maintain documentation of code, models, and data processes to ensure reproducibility and regulatory compliance.

Research Support (15%)

• Assist with clinical research projects by analyzing multimodal data (e.g., notes, structured EHR, metadata).
• Contribute to the preparation of research manuscripts, posters, and presentations.
• Help coordinate efforts across interdisciplinary collaborators and maintain accurate records of research activities.
  

Lab Operations and Communication (15%)

• Help manage lab data resources, research software tools, and cloud computing environments.
• Assist with IRB documentation, data access compliance, and secure handling of sensitive health information (HIPAA compliance).
• Supervise other research assistants as needed and contribute to the onboarding and mentoring of new lab members.
  

All required qualifications must be included in the application materials

Required:

• Bachelor's degree in biomedical informatics, computational biology, health data science or a related field OR an equivalent combination of education and experience totaling at least four (4) years.
• Experience working with Python and/or R for data analysis.
• Familiarity with healthcare data formats.
  

Preferred:

• Experience with NLP libraries (e.g., HuggingFace Transformers) and clinical text data.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for text analysis.
• Knowledge of clinical terminologies (e.g., ICD, SNOMED, LOINC, UMLS).
• Excellent organizational, communication, and documentation skills.
• Prior experience in academic or clinical research settings, especially involving interdisciplinary teams.

The Health Data Science Lab is housed within the Division of Computational Health Sciences at Department of Surgery, the University of Minnesota. The lab conducts innovative research at the intersection of data science, clinical informatics, and healthcare delivery. We work with large- scale, real-world clinical datasets to develop trustworthy and impactful AI tools for improving patient care and clinical decision-making, with an emphasis on interpretability, equity, and translational impact.

Pay Range: $41,600 per year

Time Appointment Category: 75%-100% Appointment (If job description above does not specify appointment or expected weekly hours, assume a 100% appointment.)

Position Type: Civil-Service & Non-Faculty Labor Represented Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost
• Employee Transit Pass with free or reduced rates in the Twin Cities metro area

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).