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Number of Positions: 1
Job Listing
Job ID: 14392922
 
Job Location:
 

 
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Job Title:Rsch Pro 2-Data Analytics
Work Type:Work Days: Work Vary: Yes , Shift: Other, Hours Per Week: 40, Work Type: Regular
 
Salary Offered:Unspecified
Benefits:Unspecified.
 
Physical Required:Unspecified
Drug Testing Required:Unspecified
Education Required:Bachelor's Degree
Experience Required:Unspecified
 
Required Skills:
Please see the job description for information about required job skills.
Preferred Skills:
 
Job Description:
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Job ID365828

LocationTwin Cities

Job FamilyResearch

Full/Part TimeFull-Time

Regular/TemporaryRegular

Job Code8352DA

Employee ClassCivil Service

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About the Job



Job description:
* The job is motivated by the need of data integration analysis of large-scale multi-omics data that have been generated in the lab, such as long read DNA-/RNA-sequencing, DNA methylation, biomedical image, etc. The goal is to utilize the complementary advantages of these data to understand the coordinated pathogenic regulatory pathway from different angles.

Responsibilities:

50% - Conduct long read sequencing data analysis:
* Implement Nanopore/Pacbio long read data analysis pipelines, including
o Long read DNAseq pipelines: base calling, SNP/mutation calling, DNA methylation calling, etc.
o long read RNA-seq pipelines, alternative splicing calling, RNA modification calling, etc.
o long read metagenomic pipelines, microbiome genome assembly, taxonomic identification, etc.
* Perform integrative multi-omics data analysis, such as association study between DNA methylation/SNP and clinical variables, association between differentially expression alternative splicing calling and RNA modification, host and microbiome interaction, etc.

50% - Reproduce/implement existing multi-omics data integration methods:
* Install existing machine learning model/software for clinical and multi-omics phenotype prediction.
* Use transferring learning method to adapt pre-trained model parameters to our in-house multi-omics data.
* Maintain and update the software for the long-term usage in the lab.

Other duties as assigned.

Qualifications



All required qualifications must be documented on application materials.
Required Qualifications:
* Bachelor's degree in a biological science or mathematics related field with two years of experience or a combined six years of education and research (e.g., applied statistics or bioinformatics).
* Proficiency in long read sequencing data analysis and machine learning.
* Pprogramming skill in Python and Linux bash.
* Detail-oriented and highly organized.

Preferred Qualifications:
* Knowledge of Nanopore/Pacbio long read sequencing bioinformatics data analysis.

Pay and Benefits



Pay Range: $28.85 - $33.71 per hour; depending on education/qualifications/experience
Time Appointment: 100% Appointment
Position Type:Civil-Service & Non-Faculty Labor Represented Staff
Please visit the Office of Human Resources website for more information regarding benefit eligibility.
The University offers a comprehensive benefits package that includes:
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and employer-paid life insurance
Employee wellbeing program
Excellent retirement plans with employer contribution
Public Service Loan Forgiveness (PSLF) opportunity
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
Employee Transit Pass with free or reduced rates in the Twin Cities metro area

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 a cover letter and resume.
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) 624-8647.

Diversity






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 the U of M



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 America's 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).

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.

Refer to ID 81893510 when applying