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University of Minnesota - 15th Ave Temporary/Casual Researcher- Hematology, Oncology & Transplantation Division in Minneapolis, Minnesota

Job ID360337 LocationTwin Cities Job FamilySupplemental Employee Full/Part TimePart-Time Regular/TemporaryTemporary Job Code0001 Employee ClassCivil Service About the Job We have an interest in utilizing computer algorithms as well as wet laboratory approaches to model gene behavior in tumors. This is purposed towards identifying cancer associated mechanisms, precision therapies or biomarkers. The researcher will work with Dr. Justin Hwang and his current team to conduct informatics driven research. The individual will be assigned three or more research projects in which the individual will be responsible in progressing based on the following: -50% Design and perform bioinformatics and wet laboratory analysis for projects. -Design overarching experimental plans using bioinformatics methods. -Development or implement computer code to analyze clinical gene expression data with specified inputs and outputs. -Identify and trouble shoot issues to complete proposed analyses. 30% Interpret and organization of projects -Document and organize source data, code, and results. -Interpret results from analysis and articulate these findings to colleagues. -Prepare figures for manuscripts and maintain expertise in the relevant research. -Communicate and meet with Dr. Justin Hwang and his team. 10% Assist in preparing manuscripts, progress reports, abstracts. 10% Present data at lab meetings. Qualifications Required Qualifications BA/BS or an equivalent combination of education and experience to total 4 years Can develop, read and execute code in R or Python script. *Knowledge of bioinformatics in research, with a demonstrated ability to solve complex problems using its methods *Is willing to learn and develop long term projects by optimizing code for the analysis of biological features observed in cancer cells *Will take exceptional records to ensure codes are reproducible by others *Has previously analyzed large scale datasets in projects and performed statistical analysis via regression models, or machine learning models Preferred Qualifications Preference with experience on human genomic or transcriptomic projects and worked with analytical tools for studying human DNA and RNA Has an advanced degree in a health science or related field Has published on related projects Has developed code in the past 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 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: 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 un ergraduate, 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.

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