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Direct Cancer Bioinformatics Jobs in Minnesota (NOW HIRING)

Direct Cancer Bioinformatics information

What is the difference between Direct Cancer Bioinformatics vs Cancer Data Analyst?

AspectDirect Cancer BioinformaticsCancer Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computational Biology, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsHospitals, research institutions, healthcare organizations
Industry UsageAnalyzing genomic data, developing bioinformatics pipelines for cancer researchInterpreting clinical data, generating reports for patient care

Direct Cancer Bioinformatics focuses on developing computational tools and analyzing genomic data specifically for cancer research, often involving laboratory-based data analysis. Cancer Data Analysts interpret clinical and research data to support patient treatment and healthcare decisions. While both roles require data analysis skills, Direct Cancer Bioinformatics emphasizes bioinformatics techniques and genomic data, whereas Cancer Data Analysts focus more on clinical data interpretation.

What is a direct cancer bioinformatics job?

A direct cancer bioinformatics job involves analyzing genomic and molecular data related to cancer to identify patterns, mutations, and biomarkers. Professionals in this role typically use bioinformatics tools, programming skills, and biological knowledge to support cancer research and personalized treatment development.

What are popular job titles related to Direct Cancer Bioinformatics jobs in Minnesota?

For Direct Cancer Bioinformatics jobs in Minnesota, the most frequently searched job titles are:

Researcher 2 - Informatics

University of Minnesota

Minneapolis, MN • On-site

$27.50 - $30/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About the Job
 

We are looking for a Research Professional in Computational Biology (Bioinformatics) to support the genomics component of our extensive comparative oncology and immunology portfolio within the Animal Cancer Care and Research Program at the Masonic Cancer Center and the College of Veterinary Medicine. This position will focus on performing independent bioinformatics analyses of three projects, described in the responsibilities section below. The role requires a strong command of mathematical and biological principles and advanced computing skills to handle datasets of whole transcriptome RNA sequencing, ATAC sequencing, and whole genome sequencing. The objective of this position is to complete data analysis and integration of ATAC and RNA sequencing datasets for publication. The position is available for a 12-week period at full-time(temp/casual employment). Salary will be commensurate with experience and guided by the latest UMN Compa-ratio study and UMN HR recommendations. 

Job Responsibilities 

100%- Project 1: VSF Immunology of Osteosarcoma

  • Integrated analysis of bulk RNA sequencing and ATAC sequencing of immune cells from dogs with bone cancer and from healthy dogs, including subjects that were enrolled in experimental therapeutic studies
  • Investigation of genomic signals associated with cellular stress

Location and Work Environment 

  • University of Minnesota Twin Cities campus (East Bank). 
  • This position has been designed to provide maximum flexibility. 
  • Work location is determined by the nature of tasks at hand: when duties require in-person meetings, training, or use of laboratory resources, on-site presence is required. 
  • When duties can be performed with full remote access (e.g., data analysis, manuscript preparation, project updates), remote work is an option. 
  • Schedules may vary from week to week with an average of 14 days of remote work per week. 

Work Schedule 

  • Standard availability is expected Monday through Friday, 9:00 a.m. to 5:00 p.m.
  • Evening and weekend work may occasionally arise and is performed on a voluntary basis. 
  • Remote work flexibility is available as described above, averaging 14 remote days per week depending on project demands. 

Essential Employee Designation 

  • Non-Essential Employee 

Visa Sponsorship Language 

  • This position is NOT eligible for H-1B visa sponsorship 
Qualifications
 

All required qualifications must be included in the application materials

Required Qualifications 

  • BS or BA degree in the biological sciences and/or related to mathematical or computational biology, with two or more years of relevant work experience in bioinformatics/computational biology since completion of the degree 
    • OR a combination of education and relevant work experience to equal at least 6 years
  • Documented evidence of direct experience with bioinformatics analysis and handling of tumor and immune datasets.
  • Strong command of biological principles, including evolution and natural selection.
  • Basic understanding of neoplasia and immune function.
  • Command of R and/or Python computing platforms.
  • Experience mapping data to species-specific genomes and performing analyses from open source and custom experimental datasets (e.g., bulk RNAseq, ATAC-seq, integrative analyses).
  • Proficiency with Linux and the ability to work from a command line.
  • Outstanding laboratory etiquette and evidence of experience working with teams. 

Preferred Qualifications 

  • Master's or equivalent advanced degree in bioinformatics/computational biology with a completed thesis or capstone project.
  • Experience with bulk RNAseq, WES/WGS, and ATAC-seq.
  • Strong grasp of MySQL and ability to handle biological databases.
  • Strong ability to communicate work clearly and liaison with other biologists and bioinformaticians.
About the Department
 

University of Minnesota Veterinary Clinical Sciences Department (VCS) 

The Veterinary Clinical Sciences Department advances veterinary medicine through clinical education and mentoring, specialized care of companion animals, and generating new knowledge through clinical research.

Teaching

Veterinary Clinical Sciences faculty members are responsible for a significant portion of the clinical training program for third- and fourth-year veterinary students, as well as small animal internship and residency programs. Faculty members also participate in the veterinary medicine and comparative and molecular biosciences graduate programs.

Research

Faculty and staff are actively involved in clinical and basic research, as well as specialized programs such as the Animal Cancer Care and Research program, Minnesota Urolith Center, and Surgical Research Laboratory. Research efforts are supported by the Clinical Investigation Center, which coordinates clinical trials.

Service and Outreach

Veterinary Clinical Sciences faculty members provide collaborative clinical services in the Veterinary Medical Center using cutting-edge equipment and offers consultations and continuing education programs for practicing veterinarians in the community. 

URL: https://vetmed.umn.edu/departments/veterinary-clinical-sciences/department-veterinary-clinical-sciences 

Pay and Benefits
 

Pay Range: $27.50 - $30.00/hr; depending on education/qualifications/experience

Time Appointment: 100% Appointment

Position Type: Civil-Service & Non-Faculty Labor Represented Staff