Post-Doctoral Associate - Bioinformatics & Computational Biology

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

Benefits offered by this job

Competitive wages

Paid holidays

Generous time off

Medical insurance

Dental insurance

Pharmacy plans

Disability insurance

Employee wellbeing program

Job summary

A prominent research university in Minnesota is seeking a Postdoctoral Researcher to develop innovative computational methods in the field of spatial-omics technology. The role requires a recent PhD and strong programming skills in R and Python, along with a solid background in data analysis and genomics. The position offers a competitive salary range between $62,232 and $75,564, reflecting NIH stipend levels, and exceptional benefits including medical, dental, and continuous learning opportunities. Commitment to diversity and inclusion is emphasized.

Qualifications

• PhD degree obtained in the last 1-2 years.
• Strong quantitative background in data analysis and computational genomics.
• Ability to quickly learn new technologies and analytical methods.

Responsibilities

• Develop novel computational methods for spatial-omics technology.
• Conduct rigorous multi-modality data analysis.
• Publish research findings in academic journals.
• Manage and maintain software/database.

Skills

Quantitative data analysis

R

Python

Unix Shell

Communication and interpersonal skills

Education

PhD degree in a related field

Job description

Qualifications

• A PhD degree in a 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: 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.

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 & 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.

Equal Opportunity Employment

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 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.