Full-Time

Informatics and Health Data Science Research Assistant Professor

Posted on 5/9/2026

University of Miami

University of Miami

No salary listed

Company Does Not Provide H1B Sponsorship

Miami, FL, USA

In Person

Category
Data & Analytics (1)
Required Skills
Data Science
Data Analysis
Requirements
  • Ph.D., M.D. or other doctoral level degree relevant field
  • Minimum 1 year of relevant experience
  • PhD 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)
  • 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.
Responsibilities
  • 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.
Desired Qualifications
  • Est extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged.
  • Strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes.
  • Strong record of accomplishments in bioinformatics, including developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology.
  • Demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL.
  • Role collaborates with researchers to develop high throughput data processing and analysis capability.
  • Directs and guides database searches and the computational analysis of resulting data.
  • May assist in grant and other funding applications, as necessary and appropriate.
  • Demonstrated ability to function as part of a team.
  • This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding.

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