Researcher 3 - Data Analyst **hybrid in Minnesota**

at  University of Minnesota

This position is hybrid with at least three days a week in the office. Our office is located on the West Bank of Minneapolis’s campus.
All required qualifications must be documented on application materials.

Required Qualifications:

• Bachelor’s degree in a related field (e.g. Data Science, Computer Science, Bioinformatics, Statistics, similar studies) and two years of experience or a combination of education and experience to equal six years
• Strong proficiency in deep learning modeling, biomedical image analysis, bioinformatics, and/or high-throughput sequencing data analysis.
• Strong proficiency in data analysis tools, for example, R, Python, and/or Bash.
• Experience working with large, complex datasets.
• Knowledge of data cleaning and quality assurance best practices.
• Excellent communication (written and verbal) and teamwork skills.
• Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Detail-oriented and highly organized.

Preferred Qualifications:

• Knowledge of biomedical image processing and deep learning algorithm.
• Advanced statistical and data modeling skills.
• Strong skills in Excel specifically for data cleaning and manipulation.

Job description:

• Dr. Zhu’s lab is a dry lab. The research interests are mainly focused on the novel computational methodology design and multi-modal data analysis to (1) enhance the single-cell and spatially resolved multi-omics technologies and (2) screen the pathogenic driven factors, therefore shedding lights on coordinated biological regulatory mechanisms from different layers.
• One of the jobs is motivated by the need of biomedical image analysis in the clinical utility. The pathological image, especially hematoxylin and eosin (H&E) of tissue slide that captures histologic details in high resolution, has become a routine clinical procedure for cancer diagnosis and prognosis. Over the past years, artificial intelligence (AI), especially the representation deep learning methods, have demonstrated great performance in many clinically relevant tasks. The job is to implement the AI-based digital pathology diagnostic assays, ranging from low-level tasks focused around object recognition problems such as detection and segmentation to higher-level tasks such as predicting tumor diagnosis and prognosis, aiming to provide additional valuable information for oncologists to perform cancer risk stratification, new biomarker discovery, and patient selection for targeted therapies.

Responsibilities:

60% - Conduct biomedical image analysis:

• Perform and clean the large datasets of clinical high-resolution whole-slide images and associated patient health information.
• Implement in-house versions of a series of state-of-art deep learning-based digital pathology software.
• Train and test the deep learning models on pan-cancer biomedical images to predict multi-omics phenotypes.
• Release the software/model and provide the supports for the long-term clinical service in the department.

40% - Provide bioinformatics support:

• Assist in implemention bioinformatics analysis pipelines for high-throughput sequencing technologies, such as DNAseq, RNAseq, ChIPseq, etc.
• Perform bioinformatics data analysis on real datasets to provide supports for both in-house and collaborative projects.
• Give presentations of research progress to the lab members and collaborators.

Other duties as assigned.
Comp range: $64,000 - 72,000
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)

Please refer the Job description for details