All required qualifications must be documented on application materials.

Required Qualifications

B.A./B.S. in Computer Science/Math/Statistics/Physics/Informatics or related technical discipline plus at least four years of relevant experience or a combination of education and experience in a research or technical environment to equal eight years.
Experience with Matlab or Python or R.
Experience with SQL or other database technology.
Experience writing code for complex computer programs independently. Please provide a link to samples of your code available online (Github or similar services).
Experience with basic machine learning or statistical methods.
Demonstrated/documented strong communication skills.

Additional Desirable (not required) Qualifications

Experience working with messy real-world data.
Experience in high-performance computing.
Experience working independently in a rapidly changing scientific environment.
Skills in data visualization.
Research experience in statistics/data science/related fields.
Experience publishing scientific papers in conferences/journals.

Junior Scientific Programmer/Data Scientist (Research 3)

About the Job

The Institute of Health Informatics (IHI) in the University of Minnesota is seeking a scientific programmer/data scientist to join the IHI Data Scientist Specialist (IHIDSS) team led by Dr. Ma. The IHIDSS team supports collaborative research to apply machine learning and statistical methods to solve real-world problems in biological and health sciences. Application areas includes but are not limited to: mental health, aging and longevity, diabetes, addiction, brain science, cancer, and health equity. The IHIDSS team also conducts original research involving machine learning theory development, algorithm development and benchmarking. The primary focus of the theoretical research are causal discovery and predictive modeling. This is a Researcher 4 classification position.

Duties/Responsibilities

Conduct Analytical Experiments (80%)

Construct datasets from various data sources for research.
Design and implement data processing and analysis infrastructure; Ensure the integrity and security of data, code, and analytical experiments.
Design, setup and run computational experiments to evaluate and benchmark cutting-edge machine learning algorithms.
Design, setup and run computational experiments to execute algorithms on various types of biomedical or healthcare related data.

Algorithm Development (10%)

Implement machine learning, statistical, data-mining, bioinformatics/clinical informatics algorithms.
Develop and modify software and demonstrations.
Create documentation for all software, code and experiments.

Publications and Presentations (10%)

Write or help prepare technical reports and/or publications.
Communicate and present analytical results to customers, scientists and clinicians.

The Institute for Health Informatics educates students and conducts research in the fields of biomedical and health informatics.

In that work it focuses on the design, use, and evaluation of information systems that support and improve healthcare while protecting the safety and confidentiality of those who receive that care. It is an interdisciplinary endeavor that encompasses work in a variety of settings from tertiary care hospitals to specialty clinics, mental health facilities, community clinics, nursing homes, and home care agencies.

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).

University of Minnesota

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Junior Scientific Programmer/Data Scientist