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.

About University of Minnesota

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the
largest public research universities in the country, offering
undergraduate, graduate, and professional students a multitude of
opportunities for study and research. Located at the heart of one
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At the University of Minnesota, we are proud to be recognized by
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(2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020),
Best Employer for New Grads (2018, 2019), and Best Employer by
State (2019, 2022).