Bioinformatician II

Job description




Under the direction of a member of the faculty, the Bioinformatician is responsible for the design, development, evaluation and iterative modification of a technical infrastructure to expedite the quantitative evaluation of data resulting from studies that are laboratory based.  The position will entail the establishment and maintenance of applicable in-house bioinformatics resources and interaction with individual lab members on customized research projects, as well independent projects that are solely computational. 



  • Establish general bioinformatics resources for day-to-day use by members of the laboratory.
  • In collaboration with a member of the faculty, generate customized programming solutions to improve user interaction with available bioinformatics resources
  • Implement and adapt programs for microarray analysis, high-throughput sequencing data analysis, cis regulatory motif identification, and multi-genome protein motif searches.
  • Independently develop, implement and maintain custom designed computational solutions relevant for ongoing lab-based projects.
  • Independently develop, implement and maintain computational methods for meta-analysis of data generated in the lab as well as publicly available data.
  • Independently execute a scientific computational project (e.g. a project that can result in a first author publication)
  • Local establishment and customization of model organism genomic databases and tools for batch sequence analysis utilizing these resources.
  • Interpret and present study results in support of laboratory members.
  • Provide tabular and written summaries of approaches and analyses in a form suitable for inclusion in manuscripts or grant applications, as well as media for presentation at scientific meetings
  • Develop and implement custom bioinformatics programming solutions in collaboration with lab as necessary
  • Coordinate and collaborate with other research computing expertise at the Medical School as necessary
  • Participate in conference calls and data management meetings as needed
  • Perform other duties as required


  • BS in computer science, or equivalent experience
  • 1-3 years of related experience
  • Co-authorships on peer-reviewed publications are strongly suggested but not required
  • Strong background in statistical methodology, software languages and computer systems (Perl, C++, R, MySQL, etc.)
  • Experience in writing basic search algorithms and the ability to generate new algorithms and programs for custom data manipulation and analysis
  • Excellent communication skills, both oral and written, and interpersonal skills necessary to interact with a wide range of individuals.
Additional Information

The Diabetes Center of Excellence is seeking a highly motivated individual to work with a team of researchers to broaden their understanding of the underlying causes and mechanisms of development of diabetes, both in humans and in rat and mouse models.



  • Experience working with RNA-Seq data analysis
  • Knowledge and understanding of statistical analysis methods
  • Familiarity with Linux/Unix operating systems
  • Experience programming in R and a scripting language such as Python
  • Ability to communicate clearly with researchers with a wide variety of backgrounds and experience, from bench scientists to department heads
  • Ability to work independently and as a member of multiple teams
  • Good time management and organizational skills to facilitate simultaneous support of multiple projects.



  • Experience with single-cell RNA-Seq data analysis using software packages such as Seurat
  • Good understanding of genomics and molecular and cell biology
  • Experience or strong interest in diabetes research
  • Basic understanding of immunology
  • Familiarity with database design for organizing and keeping track of numerous samples.

This positionl allows for remote work.




Diversity Profile: University



View more

Learn more on Inside Higher Ed's College Page for University

Arrow pointing right
Job No:
Posted: 6/8/2021
Application Due: 6/7/2022
Work Type: Full Time