Strong quantitative data analysis background (machine learning, biostatistics, etc.) and/or computational genomics/genetics experiences (spatial transcriptomics, single-cell sequencing, high ...
Strong quantitative data analysis background (machine learning, biostatistics, etc.) and/or computational genomics/genetics experiences (spatial transcriptomics, single-cell sequencing, high ...
Rsch Pro 2-Informatics
Minneapolis, MN · Hybrid
$57K - $60K/yr
Specialized projects will include analysis of spatial transcriptomics data of human liver samples ... At minimum, a bachelors degree in bioinformatics, computational biology, molecular biology, or ...
Rsch Pro 2-Informatics
Minneapolis, MN · Hybrid
$57K - $60K/yr
Specialized projects will include analysis of spatial transcriptomics data of human liver samples ... At minimum, a bachelors degree in bioinformatics, computational biology, molecular biology, or ...
Postdoctoral Scholar in Placenta Biology
$61K - $66K/yr
Experience with next-generation sequencing, spatial transcriptomics, or imaging techniques. Proficiency in computational biology tools for transcriptomic and genomic data analysis. Familiarity with ...
Postdoctoral Scholar in Placenta Biology
$61K - $66K/yr
Experience with next-generation sequencing, spatial transcriptomics, or imaging techniques. Proficiency in computational biology tools for transcriptomic and genomic data analysis. Familiarity with ...
Computational Spatial Transcriptomics information
See Blaine, MN salary details
$42.32 - $45.44
4% of jobs
$48.45 is the 25th percentile. Wages below this are outliers.
$45.44 - $48.56
22% of jobs
The median wage is $51.50 / hr.
$48.56 - $51.68
26% of jobs
$51.68 - $54.81
23% of jobs
$55.20 is the 75th percentile. Wages above this are outliers.
$54.81 - $57.93
6% of jobs
$57.93 - $61.05
3% of jobs
$61.05 - $64.17
0% of jobs
$64.17 - $67.30
0% of jobs
$67.30 - $70.42
0% of jobs
$70.42 - $73.54
0% of jobs
$73.54 - $76.66
16% of jobs
$42
$56
$76
How much do computational spatial transcriptomics jobs pay per hour?
What are some typical challenges faced when working in computational spatial transcriptomics, and how can new team members prepare for them?
What is the difference between Computational Spatial Transcriptomics vs Computational Biologist?
| Aspect | Computational Spatial Transcriptomics | Computational Biologist |
|---|---|---|
| Required Credentials | Advanced degrees in bioinformatics, computational biology, or related fields; experience with spatial data analysis | Typically a PhD or Master's in biology, bioinformatics, or related disciplines; strong programming skills |
| Work Environment | Research labs, biotech companies, academic institutions focusing on spatial genomics | Research institutions, biotech firms, academia working on biological data analysis |
| Industry Usage | Specialized in spatial transcriptomics techniques and data interpretation | Broad biological data analysis across various fields |
Computational Spatial Transcriptomics focuses on analyzing spatial gene expression data within tissues, requiring specialized skills in spatial data processing. In contrast, Computational Biologists work on a wider range of biological data types. While both roles involve bioinformatics expertise, the former emphasizes spatial data analysis techniques specific to transcriptomics.
What is computational spatial transcriptomics?
What are the key skills and qualifications needed to thrive as a Computational Spatial Transcriptomics Scientist, and why are they important?
Post-Doctoral Associate - Bioinformatics & Computational Biology
University of MinnesotaMinneapolis, MN
$62K - $75K/yr
Full-time
Medical, Dental, Life
Posted 6 days ago
Job description
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:
Zhus 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 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
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).
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
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.
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 of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
About University of Minnesota
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Industry
Education
Company size
10,000+ Employees
Headquarters location
Minneapolis, MN, US
Year founded
1851