Are you ready to apply your programming and data science skills to impactful research in biomedical and health sciences? The Institute of Health Informatics (IHI) at the University of Minnesota is seeking a Junior Scientific Programmer/Data Scientist to join the IHI Data Scientist Specialist (IHIDSS) team. Led by Dr. Ma, this dynamic team collaborates on cutting-edge projects that leverage machine learning and statistical methods to address real-world challenges in fields like mental health, aging, cancer, health equity, and more.
This position offers an opportunity to contribute to both applied research and theoretical developments in areas such as causal discovery and predictive modeling. If you're passionate about working with complex data and want to make a meaningful impact in biomedical research, this is the role for you!
Key Responsibilities:
Conduct Analytical Experiments (80%)
- Construct and process datasets from a variety of sources to support research.
- Design and implement data processing pipelines to ensure the integrity and security of data and code.
- Run computational experiments to benchmark and evaluate advanced machine learning algorithms.
- Apply algorithms to biomedical and healthcare data to uncover meaningful insights.
Algorithm Development (10%)
- Develop and implement machine learning, statistical, and data-mining algorithms.
- Contribute to the development of software, demonstrations, and technical solutions.
- Create comprehensive documentation for all software, code, and experiments to ensure reproducibility.
Publications and Presentations (10%)
- Write and assist in preparing technical reports and scientific publications.
- Communicate findings effectively to diverse audiences, including scientists, clinicians, and research partners.
Required Qualifications:
- B.A./B.S. in Computer Science, Math, Statistics, Physics, Informatics, or a related technical field with 4+ years of relevant experience, or an equivalent combination of education and experience (8 years total).
- Experience with programming languages such as Matlab, Python, or R.
- Proficiency in SQL or other database technologies.
- Strong experience in writing code for complex applications, with an online portfolio (e.g., GitHub).
- Familiarity with basic machine learning and statistical methods.
- Excellent communication skills for presenting and explaining technical results.
Additional Desirable Qualifications:
- Experience working with messy real-world data.
- Familiarity with high-performance computing environments.
- Data visualization skills to communicate findings clearly.
- Research experience in statistics, data science, or a related field.
- A track record of publishing scientific papers in journals or conferences.
About the IHIDSS Team and the Role:
At the Institute of Health Informatics, we focus on advancing biomedical and health informatics through research and education. Our team is actively involved in the design, use, and evaluation of information systems that improve healthcare, while ensuring patient safety and privacy. Working with top-tier scientists, clinicians, and healthcare professionals, you will help tackle some of the most pressing issues in the field of public health.
Why You Should Apply:
- Collaborate with leading experts in machine learning and health research.
- Gain valuable experience in biomedical data science, working on high-impact projects in mental health, aging, and health equity.
- Join a vibrant community at the University of Minnesota, recognized as a Top Workplace and an industry leader in diversity and inclusion.
- Opportunity to contribute to scientific publications and make an impact in healthcare innovation.
Location: The University of Minnesota, Minneapolis-St. Paul, a hub of scientific research and world-class health centers.
How to Apply:
- Submit your online application, including a cover letter and resume.
- Provide a link to your online code samples (e.g., GitHub) to demonstrate your programming skills.
- After submitting your application, you can upload additional documents on the My Job Applications page.
