Scientific Data Curator/Biostatistician
  • Full Time
  • Anywhere
  • Applications have closed

Website pancreatlas Vanderbilt University Medical Center

The candidate for this position will lead data and metadata curation for human pancreas and islet phenotyping projects. As a member of a multidisciplinary research team, they will coordinate and maintain project timelines, assess and continually improve on best practices for local metadata/data storage and annotation, and assist group members with data analysis, visualization, and sharing. These responsibilities will include supporting the Pancreatlas™ imaging resource, a public platform created at Vanderbilt to bring together imaging data from human pancreas samples to accelerate diabetes-related research. The candidate will assist contributors with submitting and publishing imaging and other data types, including integrating existing metadata ontologies and identifying opportunities for cross-referencing with different scientific programs. The candidate will also use their knowledge of data structures to assist database developers in building a graph database and visualization tools connecting imaging and omic resources.

 

KEY RESPONSIBILITIES:

  • Oversee storage and annotation of multimodal datasets generated by human phenotyping programs (imaging, functional profiling, sequencing, etc.)
  • Act as liaison with external groups and collaborators, including coordinating ingest of appropriate data to existing resources and repositories
  • Perform quality assessment and basic statistical analysis as needed
  • Conduct data upload for Pancreatlas, from communicating with prospective contributors and reviewing data to standardizing and adapting metadata structures and identifying appropriate viewing tools
  • Working remotely is an option

 

QUALIFICATIONS:

  • Master’s Degree (or equivalent experience) in statistics, biostatistics, or other related degree (Required)
  • Familiarity working with biomedical datasets
  • Outstanding organizational and communication skills
  • Computational and/or statistical experience (familiarity with programming languages preferred)
  • Ability to collaboratively problem-solve and work efficiently with minimum supervision following defined milestones

 

Please reach out to Diane (diane.saunders@vumc.org) if you’d like to further discuss this opportunity!