Post-Doctoral Associate - Bioinformatics & Computational Biology

University of Minnesota; Minneapolis (MN); On-site; USD 62,232 - 75,564; Full time

Benefits offered by this job

Competitive wages

Paid holidays

Medical, dental, and pharmacy plans

Continuous learning opportunities

Disability and life insurance

Job summary

The University of Minnesota is seeking a full-time academic professional for a postdoctoral research position in Zhu's lab. This role involves developing computational methodologies and integrating multi-modality data analysis to advance understanding of complex genetic diseases. Candidates must have a PhD obtained within the last 1-2 years and demonstrate strong skills in quantitative data analysis and programming (R, Python). The position offers competitive pay and various benefits.

Qualifications

• PhD degree in related field obtained within the last 1-2 years.
• Strong quantitative data analysis background.
• Strong programming skills: R, Python, and Unix Shell.

Responsibilities

• Develop novel computational methods for spatial-omics technology.
• Conduct rigorous and reproducible multi-modality data analysis.
• Publish high-impact factor papers and present research findings.

Skills

Quantitative data analysis

Machine learning

Biostatistics

Computational genomics/genetics

Programming skills in R

Programming skills in Python

Unix Shell

Strong communication skills

Collaborative work

Education

PhD in a related field

Job description

Job Details

• Job ID: 358058
• Location: Twin Cities
• Job Family: Academic
• Full/Part Time: Full-Time
• Regular/Temporary: Regular
• Job Code: 9546
• Employee Class: Acad Prof and Admin

About the Job

Required Qualifications

• 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.

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 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 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

Diversity Statement

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.