Job Description

Required qualifications:

Bachelor's degree in a related field (bioinformatics, computational biology, data science, epidemiology and at least 2 years of related work experience or a combination of relevant education and work experience totaling 6 years. Experience analyzing sequence-based datasets, including 16S microbiome datasets Experience developing dashboards, in particular Shiny apps Ability to troubleshoot and make progress independently Strong intra-team communication skills


Preferred qualifications:

Master's degree in a related field (bioinformatics, computational biology, data science, epidemiology Successful candidates will combine strong computational and statistical skills with a solid understanding of biological systems. Key competencies include proficiency in bioinformatics and data science methods, experience with sequence-based analyses and workflow development, fluency in programming and version-controlled research practices, and the ability to collaborate effectively with multidisciplinary teams. The role requires independence, rigor, and a commitment to reproducible science, enabling the lab and department to generate high-quality, impactful research outputs.

About the Job:

This is a temporary, 12 month position wth the possibility of continuation if funding is available.


The Bioinformatician will play a central role in advancing computational research in the Noyes Lab within the University of Minnesota by designing, implementing, and maintaining analytical workflows for high-throughput sequencing and other complex biological datasets. The purpose of this position is to translate large, heterogeneous data streams into reproducible, biologically meaningful insights that support the lab's research programs in microbiology, genomics, and infectious disease ecology, while contributing to the broader research and training mission of the department.



Job Duties:

75% - Analyze sequence-based biological datasets

Use lab protocols and procedures for data management and analysis Maintain sufficient documentation of all workflows and analyses to support reproducibility and quality control Summarize analysis results, including generating figures, tables and text-based descriptions Develop and maintain code Contribute to scientific communication of results, including written and oral communications (i.e., papers and seminars) Communicate progress, challenges, opportunities and results with relevant stakeholders, both within and external to the lab


15% - Assist in training team members in data analysis and related documentation



Assist in maintaining group resources, including dataset and database management; software maintenance; data-relevant protocol updates


10% - Attend and participate in lab meetings



Attend and participate in relevant project meetings


Location and Work Environment: This position is 100% remote, with the option for in-person work if desired.



Work Schedule: This position follows a standard M-F, 9-5 work schedule, with possibility for flexible work hours upon approval of the supervisor.


The University of Minnesota College of Veterinary Medicine is a global leader in education, research, and healthcare at the intersection of animal, human, and environmental health. Home to the Veterinary Medical Center, the Veterinary Diagnostic Laboratory, and The Raptor Center, the college plays a critical role in advancing veterinary medicine and One Health initiatives. Established in 1947, it remains Minnesota's only veterinary college, fully accredited and highly ranked. With nearly 4,000 veterinarians and hundreds of biomedical scientists among its graduates, the college is committed to fostering a diverse and inclusive community dedicated to improving the well-being of animals, people, and the environment.


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.


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


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.


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).