Post-Doctoral Associate - Bioinformatics & Computational Biology

Job Details

• Job
• Location:
  
  Twin Cities
• Job Family:
  Academic
• Full/Part Time:
  Full-Time
• Regular/Temporary:
  Regular
• Job Code: 9546
• Employee Class:
  Acad Prof and Admin

• A PhD degree in a related field (Bioinformatics, Computer Science, Statistics, etc.) obtained within the last 1-2 years.
• Strong quantitative data analysis background (machine learning, biostatistics, etc.) and/or computational genomics/genetics experiences (spatial transcriptomics, single-cell sequencing, high-throughput omics sequencing data analysis, TWAS/GWAS, etc.) or other relevant areas.
• Strong programming skills: R, Python, and Unix Shell.
• Quick learning capability for new technologies and analytical methods.
• Strong communication and interpersonal skills and a track record of collaborative work in a multidisciplinary research environment.

Zhu's lab is a dry lab. The research interests are mainly focused on the novel computational methodology design and integrative multi-modality data analysis to (1) enhance the spatial profiling technology and (2) screen the pathogenic upstream regulator.

• Develop novel computational methods to enhance the power of spatial-omics technology.
• Develop novel computational methods to advance understanding of complex genetic diseases, e.g., fatty liver disease, diabetes, etc.
• Conduct rigorous and reproducible integrative multi-modality data analysis (generated from spatially resolved sequencing, single-cell sequencing, long-read and short-read bulk sequencing, etc.) to shed light on the coordinated biological regulatory mechanism from different omics layers.
• Publish high-impact factor papers and give presentations of novel research findings in academic journals and conferences.
• Manage and maintain software/database for long-standing user support.

Pay Range: $62,232 - 75,564 (follows NIH stipend levels); depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training
• Medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and life insurance
• Employee wellbeing program
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost

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