Informatics and Health Data Science- Research Asst. Professor

Core Job Summary

The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University’s research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University’s reputation as a leader in the field.

• Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations.
• Collaborates with senior staff to publish findings in refereed journals.
• Creates and conducts experiments and analyzes results.
• Works with other researchers to use and develop end products.
• Writes extramural proposals with approval from appropriate senior staff.
• Provides ready access to all experimental data for managing staff.
• Requests or acquires equipment and supplies for assigned project(s).
• Uses the internet, surveys, legal documents, and other available sources to collect information.
• Applies for grants to continue research and prepares materials for submission to granting agencies and foundations.
• Adheres to University and unit-level policies and procedures and safeguards University assets.

This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.

• Education:
  
  Ph.D., M.D. or other doctoral level degree relevant field.
• Certification and Licensing:
  Not Applicable.
• Experience:
  
  Minimum 1 year of relevant experience.
• Knowledge, Skills and Attitudes:
  • Skill in collecting, organizing, and analyzing data.
  • Ability to recognize, analyze, and solve a variety of problems.
  • Ability to exercise sound judgment in making critical decisions.

The Department of Informatics and Health Data Science (DIHDS), Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement. The Research Assistant Professor will serve as the MIL site expert in bioinformatics, setting the strategic vision for the group, leading development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team.

Faculty members are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy, and ethical initiatives related to informatics, digital technology, and health data science.

Candidate must possess a strong computational and quantitative biology background, broad understanding of key biological concepts, and significant experience in software and database engineering enabling integrated understanding of biological data analysis. Extensive experience with analysis of large datasets generated by next generation sequencing is encouraged. Preference for candidates with a strong record of accomplishments in bioinformatics, including developing innovative tools and applications, providing bioinformatics support, and a strong publication record.

• Ph.D. in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field with an emphasis on data science or statistical analyses of human subjects’ datasets.
• Demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data, including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL.
• Experience in developing high throughput data processing and analysis capability.
• Ability to direct and guide database searches and computational analysis of data.
• May assist in grant and other funding applications as necessary.
• Demonstrated ability to function as part of a team.
• Performs other responsibilities as required.

Standard office and laboratory conditions with occasional exposure to mild hazards. No requirement for extreme heat or cold, high noise levels, or hazardous materials. Work typically involves sitting, standing, and walking. Ability to handle research equipment and maintain experimental setups.

Ends of job description; full time faculty.