Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

University of Minnesota - 15th Ave Researcher 2 - Data Support in Minneapolis, Minnesota

Job ID360413 LocationTwin Cities Job FamilyResearch-Researchers Full/Part TimeFull-Time Regular/TemporaryRegular Job Code8352R2 Employee ClassCivil Service About the Job This position is full time, on site. Comp range: $29.50 - 32.00/hr Job Description Now is an exciting time for biomarker research for Alzheimer's disease (AD), especially in the context of personalized treatment strategies. Two lines of research development drive this. First, recent technological advances have enabled the ultrasensitive detection of plasma proteins as potential diagnostic and prognostic tests for AD. These tests can accurately detect AD pathologies in the brain of patients. Second, the recent exciting data supports anti-amyloid immunotherapy and its efficacy in reducing amyloid plaques in the brain and potentially slowing down cognitive decline. However, the causes of AD are multifactorial and heterogeneous. Factors outside the brain and peripheral are essential for broadening our perspective and understanding of AD pathophysiology and developing precision medicine multimodal treatment strategies for patients. Our lab focuses on precision medicine and the vascular contributions of peripheral proteins and lipids as biomarkers in AD. Our investigation of lipid-related pathways might lead to plasma lipids as therapeutic targets for treating AD and related dementias. We are looking for a highly motivated researcher with bioinformatics and biostatistical skills in omics data to apply their knowledge to answer relevant biological questions in the context of Alzheimer's disease. This person will be primarily responsible for data management, cleaning, and quality controlling datasets and preparing them for analysis, analyzing large-scale proteomics and other "omics" data using programming languages (e.g., R or Python), and correlating data with outcomes available in clinical trials and epidemiological studies. This person will also assist the Principal Investigator with data interpretation and manuscript preparation. This position is an excellent opportunity for an entry-level researcher with advanced coursework to gain more real-life research experience. Responsibilities * Prepare data sets for analysis, including cleaning/quality assurance, transformations, restructuring, and integrating multiple data sources. * Analyze large-scale proteomics and other "omics" data to answer research questions, including data visualization, statistical analysis, machine learning, and data mining. * Organize and automate project steps for data preparation and analysis. * Identify patterns in the data with outcomes available in clinical trials and epidemiological studies * Assist with data interpretation and manuscript preparation * Other duties as assigned. Qualifications All required qualifications must be documented on application materials. Required Qualifications: * Bachelor's degree in science, engineering, or a related field, and one year of relevant experience or a combination of education and experience to equal five years. * Experience managing datasets and preparing analysis * Excellent organization and attention to detail. * Excellent communication skills - verbal and written. Preferred Qualifications: * Experience in programming skills using R or Python * Have taken advance course in statistics Benefits Working at the University At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work. The University also 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 Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disabili y and employer-paid life insurance Employee wellbeing program Excellent retirement plans with employer contribution Public Service Loan Forgiveness (PSLF) Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost Please visit the for more information regarding benefits. 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 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). 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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