Rsch Pro 3-Informatics (Modiano Lab)

Projects: The successful applicant will be expected to perform independent analyses of existing datasets in the following projects. The listed effort and order of priority might shift somewhat depending on data release dates, reporting deadlines, and publication opportunities.

Project 1. LyRA (40% time)
analysis of NGS sequencing of circulating cfDNA
bulk RNAseq analysis
ATAC-seq analysis
16S rRNA microbiome analysis
integrating multi-omics data
artificial intelligence (machine learning) applications

Project 2. ORBIT (30% time)
single cell 3' longitudinal analysis (10X Chromium platform)
10X platform spatial genomics analysis (Visium and CytAssist)
10X platform single cell sequencing analysis (3' and Flex)
pseudo bulk analysis from single cell sequencing data
integrating multi-omics data

Project 3. ORBIT Microbiome analyses (10% time)
16S rRNA NGS data analysis

Project 4. ORBIT Proteomics (5% time)
LC-MS/MS proteomics bioinformatics
multi-omics integrations

Project 5. eBAT spatial genomics (5% time)
analysis of spatial genomics data of sarcomas from laboratory animals that received different treatments

Project 6. Shine On (5% time)
cell ontogeny and functional assignment using existing atlases from single cell RNA sequencing
artificial intelligence (machine learning) applications

Project 7. COED (5% time)
next generation exosomal RNAseq
artificial intelligence (machine learning) applications

Required qualifications:
The successful applicant will hold a BS or a BA degree in or related to the biological sciences plus four years of relevant work experience, or a combination of related education and work experience to equal eight years. In addition, the applicant should document evidence of direct experience with bioinformatics analysis and handling of tumor/cancer datasets.

Required skills:
The successful applicant will show:
A strong command of biological principles, including evolution and natural selection
A basic understanding of neoplasia and immune function
Command of R and/or Python computing platforms is essential
Essential experience mapping data to species specific genomes/proteomes and performing analyses from open source and custom generated experimental datasets, including one or more of the following (but not limited to these methods) is also essential:
single cell RNA sequencing
spatial genomics, including integration of functional regional relationships
outstanding laboratory etiquette and evidence of experience working with teams
evidence of collegiality, specifically addressed in letters of reference
Proficiency with Linux and the ability to work from a command line

Desirable skills:
A master's or equivalent advanced degree in bioinformatics/computational biology with a capstone project from an accredited university program.
Experience performing analyses from open source and custom generated experimental datasets or knowledge of one or more of the following (but not limited to these methods) is desirable:
bulk next generation RNA sequencing (RNAseq)
whole exome/whole genome sequencing (WES/WGS)
cell-free DNA (cfDNA) analysis
circulating tumor DNA (ctDNA) analysis
assay for transposable accessible chromatin using sequencing (ATAC-seq)
metagenomics (16S rRNA next generation sequencing and/or shotgun metagenomic sequencing)
proteomics (mass spectroscopy data)
other 'omics platforms (lipidomics, phosphoproteomics, metabolomics, etc.)
A strong grasp of MySQL and an ability to operate/handle biological databases
A strong ability to communicate work clearly and concisely and liaison with other biologists/bioinformaticians regarding findings

Pay Range: $29/hr - $37/hr; depending on education/qualifications/experience

Time Appointment: 75%-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

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.

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 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).