Researcher 3 - Data Analyst **hybrid in Minnesota** (# 364820)

$64,000 - $72,000/Yr

University of Minnesota

Full-time - Entry Level

Hybrid

Educational Services

About the position

The Researcher 3 - Data Analyst position at the University of Minnesota focuses on enhancing biomedical image analysis through advanced computational methodologies and multi-modal data analysis. The role involves implementing AI-based digital pathology diagnostic assays to support cancer diagnosis and prognosis, as well as providing bioinformatics support for high-throughput sequencing technologies. This hybrid position requires a strong background in data science and bioinformatics, with a commitment to improving clinical utility through innovative research.

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 a series of state-of-art deep learning-based digital pathology software.
• Train and test deep learning models on pan-cancer biomedical images to predict multi-omics phenotypes.
• Release the software/model 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, ChIPseq, etc.
• 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.

Requirements

• Bachelor's degree in a related field (e.g. Data Science, Computer Science, Bioinformatics, Statistics, similar studies) and two years of experience or a combination of education and experience to equal 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, for example, 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 the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Detail-oriented and highly organized.

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 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