"Post-Doctoral Associate - Bioinformatics & Computational Biology"

About the Job

Required Qualifications:

• A PhD degree in related field (Bioinformatics, Computer Science, Statistics, etc.) obtained in 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: (e.g., 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 multidisciplinary research environment.

Job description:

• 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.

Responsibilities:

• Develop novel computational methods to enhance the power of spatial-omics technology.
• Develop novel computational methods to advance understanding of the 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 lights 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 and Benefits

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

How To Apply

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 (all three required)

• cover letter
• CV
• the name and contact information for three professional references

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-UOHR (8647).

Diversity

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

Employment Requirements

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.