About the Job
The Institute for Health Informatics (IHI) in the University of Minnesota is seeking a scientific Programmer/Data Scientist to join Dr. Sisi Ma’s research team. Dr. Ma works on computational causal discovery and predictive modeling theory and method development. She also works on the application of these methods in biomedicine and health. This is a Researcher 5 position.

Duties/Responsibilities:
Conduct Analytical Experiments (60%)

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 (25%)

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.
Mentoring Junior Data Scientists (5%)

Qualifications
All required qualifications must be documented on application materials.

Required Qualifications:

M.A./M.S. in Computer Science/Math/Statistics/Physics/Informatics or related technical discipline with one or more years of research training in a research or technical environment 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 machine learning and 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 and collaboratively 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
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 Regents Scholarship
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and employer-paid life insurance
Employee wellbeing program
Excellent retirement plans with employer contribution
Public Service Loan Forgiveness (PSLF) opportunity
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
Please visit the Office of Human Resources website for more information regarding benefits.