Researcher 3 - Data Analyst **hybrid in Minnesota**

$64,000 - $72,000/Yr

University of Minnesota - Minneapolis, MN

Full-time - Entry Level

Hybrid - Minneapolis, MN

Educational Services

About the position

The Researcher 3 - Data Analyst position at the University of Minnesota focuses on conducting biomedical image analysis and providing bioinformatics support. The role involves utilizing deep learning methodologies to enhance clinical diagnostics through the analysis of high-resolution whole-slide images and associated patient data. The position is hybrid, requiring at least three days a week in the office, and aims to contribute to cancer diagnosis and prognosis through advanced computational techniques.

Responsibilities

• Conduct biomedical image analysis by performing and cleaning large datasets of clinical high-resolution whole-slide images and associated patient health information.
• Implement in-house versions of state-of-the-art deep learning-based digital pathology software.
• Train and test deep learning models on pan-cancer biomedical images to predict multi-omics phenotypes.
• Release software/models and provide support for long-term clinical service in the department.
• Assist in implementing bioinformatics analysis pipelines for high-throughput sequencing technologies such as DNAseq, RNAseq, and ChIPseq.
• Perform bioinformatics data analysis on real datasets to support both in-house and collaborative projects.
• Give presentations of research progress to lab members and collaborators.
• Other duties as assigned.

Requirements

• Bachelor's degree in a related field (e.g. Data Science, Computer Science, Bioinformatics, Statistics) and two years of experience or a combination of education and experience totaling six years.
• Strong proficiency in deep learning modeling, biomedical image analysis, bioinformatics, and/or high-throughput sequencing data analysis.
• Strong proficiency in data analysis tools such as R, Python, and/or Bash.
• Experience working with large, complex datasets.
• Knowledge of data cleaning and quality assurance best practices.
• Excellent communication (written and verbal) and teamwork skills.
• Excellent analytical skills with attention to detail and accuracy.

Nice-to-haves

• Knowledge of biomedical image processing and deep learning algorithms.
• Advanced statistical and data modeling skills.
• Strong skills in Excel specifically for data cleaning and manipulation.

Benefits

• Competitive salary range of $64,000 - $72,000 per year.
• Opportunities for professional development and research collaboration.
• Access to a diverse and inclusive work environment.