University of Minnesota

posted about 1 month ago

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 at least three days a week in the office, located on the West Bank of Minneapolis's campus.

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 algorithm.
  • 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
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