Organisation Name: University of Wisconsin–Madison
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Job Description:
The University of Wisconsin Biotechnology Center (UWBC) is a synergistic blend of core service facilities, research and outreach activities. The Bioinformatics Resource Center (BRC), one of UWBC core facilities, is seeking to add a highly self-motivated individual to our team. This individual will be responsible for working with project personnel to implement bioinformatics and statistical methods for a myriad of project types; the primary focus of which will revolve around the current 2nd & 3rd generation sequencing platforms. This will involve scripting, exploration of parameter selections, summarizing large data in tabular and graphical formats, and providing detailed documentation of all methods used. This individual will work closely with a collaborative group to develop robust workflows that can be efficiently applied to similar projects. Many aspects of these analyses are computationally intensive requiring high-throughput infrastructure available at the BRC. POSITION DUTIES: List of Duties INSTITUTIONAL STATEMENT ON DIVERSITY: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion DEGREE AND AREA OF SPECIALIZATION: Masters in Computational Biology or a related field, including biological sciences or statistics. MINIMUM YEARS AND TYPE OF RELEVANT WORK EXPERIENCE: Two years of statistics or bioinformatics experience working in single-cell RNAseq or long-read analysis experience (i.e. isoseq, assembly, Hi-C, genome annotation) is preferred. Demonstrated proficiency in Linux and statistics languages. Working knowledge of scripting languages, and pipeline development experience. Teamwork and collaboration skills. DEPARTMENT(S): A347564-VCRGE/BIOTECH/ADV GENOME ANLYS WORK TYPE: Full Time: 100% APPOINTMENT TYPE, DURATION: Ongoing/Renewable SALARY: Minimum $50,000 ANNUAL (12 months) Depending on Qualifications INSTRUCTIONS TO APPLICANTS: Begin the online application process by clicking the 'Apply Now' button. Applicants are asked to upload a cover letter outlining your experience as related to the position as well as a current resume or CV. You will be directed to a reference form within the application.
