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UO
University of Minnesota
Researcher 2 - Informatics
Career Insights for Computational Biologist
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What they do
A Computational Biologist uses biological data to develop models to better understand biological systems. Conducts analysis using computational and mathematical methods and large data sets.
$108,196 / year median in Minnesota
+9% projected growth
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 1-4 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 1-4 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.